Name: Qwen 3.6 on Ollama 🚀 Build Games in One HTML (Beats Gemma 4?) @KGPTalkie
Uploaded: 2026-09-20T08:17:00-05:00
Duration: 8 min 17 s
Description: Qwen 3.6 on Ollama 🚀 Build Games in One HTML (Beats Gemma 4?)

Qwen 3.6 on Ollama 🚀 Build Games in One HTML (Beats Gemma 4?)

KGP Talkie 2026-09-20 | Qwen 3.6 on Ollama 🚀 Build Games in One HTML (Beats Gemma 4?)

How to Install and Configure Kibana and Elasticsearch 8 on Ubuntu | Elasticsearch Tutorial

KGP Talkie 2023-06-07 | How to install elasticsearch and kibana. We have seen how to install elasticsearch in previous video.

Install Elasticsearch:
youtube.com/watch?v=NptsWT5ykJs

Install Kibana:
elastic.co/guide/en/kibana/current/deb.html

Kibana enables you to give shape to your data and navigate the Elastic Stack. With Kibana, you can:

Search, observe, and protect your data. From discovering documents to analyzing logs to finding security vulnerabilities, Kibana is your portal for accessing these capabilities and more.

Analyze your data. Search for hidden insights, visualize what you’ve found in charts, gauges, maps, graphs, and more, and combine them in a dashboard.

Manage, monitor, and secure the Elastic Stack. Manage your data, monitor the health of your Elastic Stack cluster, and control which users have access to which features.

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How to Install and Configure Elasticsearch 8 on Ubuntu | Elasticsearch Tutorial for Beginners

KGP Talkie 2023-06-06 | We will see how to install Elasticsearch on Ubunti machine. We will also see how to configure elasticsearch.

INSTALL ELASTICSEARCH
elastic.co/guide/en/elasticsearch/reference/current/deb.html

Running Elasticsearch on Ubuntu
elastic.co/guide/en/elasticsearch/reference/current/deb.html#deb-running-systemd

Configure Elasticsearch File: /etc/elasticsearch/elasticsearch.yml

-------------------------------------
cd /etc
sudo chmod 777 elasticsearch
cd elasticsearch
sudo chmod 777 elasticsearch.yml

sudo nano elasticsearch.yml
-------------------------------------

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📈 📘 2021 Python for Linear Regression in Machine Learning
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Install Ubuntu 22.04 Desktop with Virtual Box in Windows

KGP Talkie 2023-06-06 | Hi,
We will be using Virtual Box to install Ubuntu inside a Windows machine. Virtual box and Ubuntu are free of cost to use.

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NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
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Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
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AWS Tutorial 1 - Launching EC2 Ubuntu Machine on AWS

KGP Talkie 2023-06-05 | Welcome to our YouTube tutorial on launching an EC2 Ubuntu machine on AWS! In this video, we will guide you step by step through the process of setting up and launching an EC2 instance running Ubuntu on the Amazon Web Services (AWS) platform.

Whether you're new to AWS or already familiar with the platform, this tutorial is designed to help you quickly get up and running with an EC2 instance, leveraging the power of Ubuntu as your operating system.

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Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
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CNN Fundamental 3- Why Residual Networks ResNet Works

KGP Talkie 2023-05-16 | A residual network, also known as ResNet, is a deep learning architecture that revolutionized the field of computer vision. It was introduced in the paper "Deep Residual Learning for Image Recognition" by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun in 2016.

ResNet addresses the challenge of training very deep neural networks by introducing a concept called residual blocks. In traditional deep networks, as the number of layers increases, the vanishing gradient problem can occur, making it difficult for the network to learn effectively. The vanishing gradient problem refers to the diminishing magnitude of gradients during backpropagation, hindering the training process.

ResNet tackles this problem by utilizing skip connections or shortcut connections. These connections allow the network to learn residuals, i.e., the difference between the input and the desired output. The core idea is that instead of trying to learn the direct mapping from input to output, ResNet learns the residual mapping. By adding the original input to the output of each layer (through the skip connection), the network can bypass the vanishing gradient issue.

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📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
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EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
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📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
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CNN Fundamental 2- What is 1x1 Convolution? Do we really achieve anything with this?

KGP Talkie 2023-05-15 | A 1x1 convolutional filter is a type of filter that is commonly used in convolutional neural networks (CNNs) for image processing and computer vision tasks. Unlike traditional filters which have dimensions like 3x3 or 5x5, a 1x1 convolutional filter has only one row and one column, hence the name "1x1".

Although it may seem counterintuitive that such a small filter can be effective, 1x1 convolutions have a number of advantages. For one, they can be used to reduce the number of feature maps produced by a CNN, which can help to reduce computational complexity and memory requirements. This process is known as "channel-wise pooling" or "bottlenecking", and involves applying a 1x1 convolution to the input feature maps, followed by a non-linear activation function.

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👉🏻 Deep Learning with TensorFlow 2.0
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👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
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Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

CNN Fundamentals 1- Why and How Depth wise Separable Convolution Works?

KGP Talkie 2023-05-14 | Depthwise Separable Convolution - The technique of depthwise separable convolution was introduced in the paper "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" by Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam, published in 2017.

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👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
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📘 📙 Natural Language Processing (NLP) in Python for Beginners
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Deep Learning Tutorial 5 - Multiclass Flowers Classification using VGG16 with Transfer Learning

KGP Talkie 2023-05-03 | In this video, we explore how to use VGG16 with transfer learning to perform multiclass flower classification. Transfer learning is a powerful technique that enables us to leverage pre-trained models to solve complex tasks with relatively small datasets. By the end of the video, you'll have a better understanding of how to apply transfer learning to your own image classification projects.

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Deep Learning Tutorial 4 - Cats vs Dogs Classification using CNN & Image Augmentation

KGP Talkie 2023-04-30 | Title: Cats and Dogs Classification with CNN & Image Augmentation | Improve Accuracy

Description:
🐱🐶 Welcome to our comprehensive lecture on Cats and Dogs Classification using Convolutional Neural Networks (CNNs) and Image Augmentation for enhanced accuracy! In this video, we dive deep into the world of deep learning and computer vision to help you understand and implement a powerful CNN model for a classic image classification problem.

💬 If you have any questions or suggestions, please leave a comment below. We're here to help and we appreciate your feedback! Happy learning! 🚀

#CatsAndDogs #CNN #ImageClassification #DeepLearning #ImageAugmentation #ComputerVision

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Deep Learning Tutorial 3 - Horse or Human Classification using CNN

KGP Talkie 2023-04-29 | In this lecture, you will see how to classify human or horse data using Deep Neural Network. We will use a simple CNN model for the classification. Convolutional Neural Network extracts image features accurately.
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Deep Learning Tutorial 2 - Fashion MNIST Data Classification

KGP Talkie 2023-04-17 | Hi, In this tutorial you will learn, how to classify fashion mnist dataset using deep learning techniques with TensorFlow framework. We will also discuss how deep learning is used for computer vision applications.

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📈 📘 2021 Python for Linear Regression in Machine Learning
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Building Streamlit UI for Image Background Removal using ML and AI in Python

KGP Talkie 2023-03-20 | To build a Streamlit UI for an image background removal application using ML and AI in Python, you can follow these steps:

Install the necessary libraries: You'll need to install Streamlit and any other libraries you'll be using in your application, such as OpenCV and TensorFlow.

Define the user interface: You can define the layout and design of your UI using Streamlit's functions, such as st.title(), st.image(), and st.file_uploader(). For example, you can create a title for your app, an image display area, and an uploader for users to upload their images.

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📈 📘 2021 Python for Linear Regression in Machine Learning
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Image Background Removal and Replacement using Machine Learning | Image Processing using Python

KGP Talkie 2023-03-14 | In this YouTube tutorial, you will learn how to use advanced machine learning and AI techniques to remove and replace the background of an image. Specifically, we will be exploring the Image Background Removal and Replacement using Machine Learning and AI repository, which contains a collection of pre-trained models and tools for training your own custom models.

We will start by exploring the pre-trained models in the repository, which use advanced computer vision techniques to accurately segment the foreground subject from the background of an image. We will demonstrate how to use these models to remove the background from an image and leave behind only the foreground subject.

Next, we will explore the repository's tools for training your own custom models. This will allow you to create models that are tailored to your specific use case and can achieve even more accurate background removal and replacement.

Finally, we will demonstrate how to use the repository's tools to replace the background of an image with a new background. This can be useful in a variety of applications, from creating photo montages to product photography for e-commerce sites.

By the end of this tutorial, you will have a deep understanding of how to use advanced machine learning and AI techniques to remove and replace the background of an image, and you will be equipped with the tools and knowledge to apply these techniques to your own projects.

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📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
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Deep Learning Tutorial 1 - Customer Churn Modelling using Multi Layer Perceptron

KGP Talkie 2023-01-19 | In this tutorial, we will be discussing customer churn modeling using a multilayer perceptron (MLP) model. Churn modeling is a crucial aspect of businesses, as it helps in identifying customers who are likely to leave the company. MLP is a type of artificial neural network that can be used to predict customer churn. We will be covering the following topics in this tutorial:

- Introduction to customer churn modeling
- Understanding the MLP model
- Preparing the data for model training
- Training and evaluating the MLP model
- Interpreting the model's results

By the end of this tutorial, you will have a solid understanding of how to implement an MLP model for customer churn prediction. Please make sure you have the required libraries installed before starting the tutorial. This tutorial is geared towards intermediate to advanced data scientists and analysts who are familiar with machine learning concepts.

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Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
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📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

Complete Numpy Crash Course for Data Scientists and Machine Learning Engineers

KGP Talkie 2022-11-18 | Hi, you will learn all basic concepts of numpy for machine learning. We will start with array creation and indexing then we will see how to reshape numpy array and finally how to store numpy array in file.
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Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

10 Concatenation and Sorting - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-16 | Concatenate and Sort numpy array.
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Course Link: bit.ly/bert_nlp

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Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

9 Numpy Array Read and Write - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-14 | Numpy array read and write.
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
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Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

8 Where - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-12 | Numpy conditional filtering using where.
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bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
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👉🏻 Natural Language Processing (NLP)
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👉🏻 Deep Learning with TensorFlow 2.0
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👉🏻 COVID 19 Data Analysis and Visualization
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👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

7 arange(), linspace(), range(), random(), zeros(), and ones() - Numpy Crash Course for Data Science

KGP Talkie 2022-11-11 | Learn how to create sequences in numpy.
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👉🏻 Python for Data Scientist
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👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

1 Matplotlib Introduction | Matplotlib Crash Course for Data Analysis

KGP Talkie 2022-11-08 | 🔊 Watch till last for a detailed description

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~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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🌍 Check Out ML Blogs: kgptalkie.com
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ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

6 Shape, Reshape, Ravel, Flatten - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-07 | Learn how to shape, reshae, ravel, flatten in numpy.
🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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💬 Leave your comments and doubts in the comment section
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~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
🐦Add me on Twitter: twitter.com/laxmimerit
📄 Follow me on GitHub: github.com/laxmimerit
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👉🏻 Complete Udemy Courses: bit.ly/32taBK2
⚡ Check out my Recent Videos: bit.ly/3ldnbWm
🔔 Subscribe me for Free Videos: bit.ly/34wN6T6
🤑 Get in touch for Promotion: info@kgptalkie.com

✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

5 Statistical Operations - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-06 | Learn how to get statistics of arrays like max, min, std, and variance.
🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️

~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
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Flask at AWS bit.ly/3b1svaD
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Software in Python bit.ly/2QqLaDy

***********
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📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

4 np.nan and np.inf - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-04 | Learn what is inf and nan data types in numpy. Learn how to compare these together.
🔊 Watch till last for a detailed description

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📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

3 Numpy Data Types - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-02 | In this course you will learn numpy data types. Data types in numpy tell you kind of data present in the numpy array.
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Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

2 Array Indexing and Slicing - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-11-01 | Hi, In this course you will learn how to do numpy array indexing and slicing.

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👉🏻 Deep Learning with TensorFlow 2.0
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👉🏻 COVID 19 Data Analysis and Visualization
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👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
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Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

1 Create Numpy Array - Numpy Crash Course for Data Science | Numpy for Machine Learning

KGP Talkie 2022-10-31 | Hi, You will learn how to create a numpy array for data science beginners.

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💯 Read Full Blog with Code
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~~~~~~~~
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👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

Complete Python Crash Course for Machine Learning | Python Crash Course for Data Scientists

KGP Talkie 2022-10-30 | Hi, you will learn complete python in this video. We will start with arithmetic operations, logical operations, lists, dict, sets, string operations, date and time, functions, loops, and conditional statements.

🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
🐦Add me on Twitter: twitter.com/laxmimerit
📄 Follow me on GitHub: github.com/laxmimerit
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🤑 Get in touch for Promotion: info@kgptalkie.com

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to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

17 Python Crash Course for ML - File Handling Read and Write | ML for Data Science

KGP Talkie 2022-10-26 | Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files.
🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
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~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
🐦Add me on Twitter: twitter.com/laxmimerit
📄 Follow me on GitHub: github.com/laxmimerit
📕 Add me on Facebook: facebook.com/kgptalkie
💼 Add me on LinkedIn: linkedin.com/in/laxmimerit
👉🏻 Complete Udemy Courses: bit.ly/32taBK2
⚡ Check out my Recent Videos: bit.ly/3ldnbWm
🔔 Subscribe me for Free Videos: bit.ly/34wN6T6
🤑 Get in touch for Promotion: info@kgptalkie.com

✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

16 Python Crash Course for ML - Working with Date and Time | ML for Data Science

KGP Talkie 2022-10-25 | A date in Python is not a data type of its own, but we can import a module named datetime to work with dates as date objects.

🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️

~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
🐦Add me on Twitter: twitter.com/laxmimerit
📄 Follow me on GitHub: github.com/laxmimerit
📕 Add me on Facebook: facebook.com/kgptalkie
💼 Add me on LinkedIn: linkedin.com/in/laxmimerit
👉🏻 Complete Udemy Courses: bit.ly/32taBK2
⚡ Check out my Recent Videos: bit.ly/3ldnbWm
🔔 Subscribe me for Free Videos: bit.ly/34wN6T6
🤑 Get in touch for Promotion: info@kgptalkie.com

✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
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Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

15 Python Crash Course for ML - Functions | ML for Data Science

KGP Talkie 2022-10-23 | A function is a block of code that only runs when it is called.

You can pass data, known as parameters, into a function.

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Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

14 Python Crash Course for ML - For Loops | ML for Data Science

KGP Talkie 2022-10-22 | A for loop is used for iterating over a sequence (that is either a list, a tuple, a dictionary, a set, or a string).

This is less like the for keyword in other programming languages, and works more like an iterator method as found in other object-orientated programming languages.

With the for loop we can execute a set of statements, once for each item in a list, tuple, set etc.

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📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

13 Python Crash Course for ML - While Loops | ML for Data Science

KGP Talkie 2022-10-21 | Hi, You will learn while loops. It runs a loop until the given condition is false.
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📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

12 Python Crash Course for ML - Conditional Statements (If Else) | ML for Data Science

KGP Talkie 2022-10-21 | if statement is the most simple decision-making statement. It is used to decide whether a certain statement or block of statements will be executed or not i.e if a certain condition is true then a block of statements is executed otherwise not.

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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
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Course Link: bit.ly/bert_nlp

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Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

11 Python Crash Course for ML - Dictionary | ML for Data Science

KGP Talkie 2022-10-20 | Dictionaries are used to store data values in key:value pairs.
A dictionary is a collection which is ordered*, changeable and do not allow duplicates.

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bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

10 Python Crash Course for ML - Set | ML for Data Science

KGP Talkie 2022-10-19 | A Set is an unordered collection data type that is iterable, mutable and has no duplicate elements.
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👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

9 Python Crash Course for ML - Tuple in Python | ML for Data Science

KGP Talkie 2022-10-19 | Tuples are used to store multiple items in a single variable.
Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Set, and Dictionary, all with different qualities and usage.
A tuple is a collection which is ordered and unchangeable.

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👉🏻 Python for Data Scientist
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👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

8 Python Crash Course for ML - List in Python | ML for Data Science

KGP Talkie 2022-10-18 | Lists are used to store multiple items in a single variable.
Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are Tuple, Set, and Dictionary, all with different qualities and usage.

🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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💬 Leave your comments and doubts in the comment section
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👍 Like this video to show your support and love ❤️

~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
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📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

7 Python Crash Course for ML - Boolean Variables and Evaluation | ML for Data Science

KGP Talkie 2022-10-18 | In programming you often need to know if an expression is True or False.

You can evaluate any expression in Python, and get one of two answers, True or False.

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EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

6 Python Crash Course for ML - String Formatting and Modification | ML for Data Science

KGP Talkie 2022-10-17 | Learn how to format string and insert values inside a string.
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***********
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
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Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

5 Python Crash Course for ML - String Slicing in Python | ML for Data Science

KGP Talkie 2022-10-17 | Hi, Learn how you can do string slicing. Access substrings in reverse order which are also known as reverse indexing.
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👉🏻 Machine Learning for Beginners
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👉🏻 Text Preprocessing and Mining for NLP
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Flask at AWS bit.ly/3b1svaD
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Software in Python bit.ly/2QqLaDy

***********
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to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

4 Python Crash Course for ML - Strings Operation in Python | ML for Data Science

KGP Talkie 2022-10-16 | Lets see how to work with strings in python. You will learn string indexing and some useful native functions to work on.
🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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~~~~~~~~
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👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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🌍 Check Out ML Blogs: kgptalkie.com
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📄 Follow me on GitHub: github.com/laxmimerit
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✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

3 Python Crash Course for ML - Variable Type Casting in Python | ML for Data Science

KGP Talkie 2022-10-15 | You will see how to convert one type of variable into other. Special attention is needed while converting float string to int.
🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
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💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️

~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
🐦Add me on Twitter: twitter.com/laxmimerit
📄 Follow me on GitHub: github.com/laxmimerit
📕 Add me on Facebook: facebook.com/kgptalkie
💼 Add me on LinkedIn: linkedin.com/in/laxmimerit
👉🏻 Complete Udemy Courses: bit.ly/32taBK2
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🔔 Subscribe me for Free Videos: bit.ly/34wN6T6
🤑 Get in touch for Promotion: info@kgptalkie.com

✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

2 Python Crash Course for ML - Data Types in Python | ML for Data Science

KGP Talkie 2022-10-15 | You will learn various data types used in python.
🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
kgptalkie.com
💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️

~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
🐦Add me on Twitter: twitter.com/laxmimerit
📄 Follow me on GitHub: github.com/laxmimerit
📕 Add me on Facebook: facebook.com/kgptalkie
💼 Add me on LinkedIn: linkedin.com/in/laxmimerit
👉🏻 Complete Udemy Courses: bit.ly/32taBK2
⚡ Check out my Recent Videos: bit.ly/3ldnbWm
🔔 Subscribe me for Free Videos: bit.ly/34wN6T6
🤑 Get in touch for Promotion: info@kgptalkie.com

✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

1 Python Crash Course for ML - Arithmetic Operations in Python | ML for Data Science

KGP Talkie 2022-10-14 | Learn the basics of python for machine learning and data science to get started with the basics of machine learning.

🔊 Watch till last for a detailed description

💯 Read Full Blog with Code
kgptalkie.com
💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️

~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
🐦Add me on Twitter: twitter.com/laxmimerit
📄 Follow me on GitHub: github.com/laxmimerit
📕 Add me on Facebook: facebook.com/kgptalkie
💼 Add me on LinkedIn: linkedin.com/in/laxmimerit
👉🏻 Complete Udemy Courses: bit.ly/32taBK2
⚡ Check out my Recent Videos: bit.ly/3ldnbWm
🔔 Subscribe me for Free Videos: bit.ly/34wN6T6
🤑 Get in touch for Promotion: info@kgptalkie.com

✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

Install TensorFlow GPU in Anaconda on Windows 11 | TensorFlow GPU and Cuda Installation

KGP Talkie 2022-10-09 | ~~===[Complete Udemy ML Course]===~~
Python for Machine Learning: A Step-by-Step Guide
bit.ly/ml-ds-project

Learn to build Machine Learning and Deep Learning models using Python and its libraries like Scikit-Learn, Keras, and TensorFlow.
~~=============================~~

Hi, Learn the simplest way to install TensorFlow and Cuda on your Windows 11 machine. Get it working in just a few minutes.
Please install TensorFlow 2.10 for time being if the latest TensorFlow doesn't work. Use this command.
python -m pip install tensorflow==2.10

🔊 Watch till last for a detailed description
00:00 Introduction
00:30 Run Anaconda Promt
01:20 PIP Install Guide
02:00 Install Cuda Toolkit and CUDNN
02:55 Set Cuda Install Path in Windows OS
03:30 Install Tensorflow
04:46 Verify Tensorflow Uses GPU

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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
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📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
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📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

Install Anaconda and Jupyter Notebook on Windows 10/11 | Machine Learning with Anaconda and Jupyter

KGP Talkie 2022-10-09 | Hi, You will learn how to install anaconda on windows 10 and 11 machines. Anaconda comes with many machine-learning libraries which you may need on the fly. It automatically installs Jupyter notebook as well.

🔊 Watch till last for a detailed description

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👉🏻 Text Preprocessing and Mining for NLP
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Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
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Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

Resume (CV) Parsing using Spacy 3 | NER Training in Spacy v3

KGP Talkie 2022-06-29 | In this lecture, I will take you through the spacy v3 ner training. NER training in spacy v3 will cover everything.

🔊 Watch till last for a detailed description

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👉🏻 Python for Data Scientist
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👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

End-to-End Complete Spacy 3 Masterclass Tutorial

KGP Talkie 2022-06-26 | Hi Everyone,
You will learn complete Spacy 3 in this lecture. We will start with the introduction of Spacy then Tokenization in Spacy, POS Tagging in Spacy, NER in Spacy, etc. Please watch the full video for a complete understanding of Spacy 3.

DO NOT CLICK THIS:
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🔊 Watch till last for a detailed description

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👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

7 Lemmatization - Spacy 3 Masterclass Tutorial for NLP

KGP Talkie 2022-05-22 | Lemmatization in spacy helps to normalize text. Lemmatization reduces the dictionary size of data. It converts any word in its root form.
🔊 Watch till last for a detailed description

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🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
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📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml

6 Stop Words in NLP - Spacy 3 Masterclass Tutorial for NLP

KGP Talkie 2022-05-06 | You will learn about stop words in English language model. Spacy helps you to quickly identify stop words for text data preprocessing for nlp models.
🔊 Watch till last for a detailed description

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💬 Leave your comments and doubts in the comment section
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🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python bit.ly/2QqLaDy

***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: kgptalkie.com
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📄 Follow me on GitHub: github.com/laxmimerit
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ENROLL in My Highest Rated Udemy Courses
to 🔑 Unlock Data Science Interviews 🔎 and Tests

📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: bit.ly/bert_nlp

📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: bit.ly/udemy95off_kgptalkie

📘 📙 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: bit.ly/intro_nlp

📈 📘 2021 Python for Linear Regression in Machine Learning
Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch.
Course Link: bit.ly/regression-python

📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro
Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more.
Course Link: http://bit.ly/r4-ml