Logistic Regression in Python - Machine Learning Basics @AdarshMenon
Logistic Regression in Python - Machine Learning Basics  @AdarshMenon
Uploaded December 2019 | Updated September 2026, 3 hours ago
This video explains the step by step process of implementing the logistic regression algorithm from scratch using python, for beginners. At the end I also compare it with an existing model using sklearn. First off we define logistic regression and what the logistic model exactly is. Then we define a loss function and use the gradient descent algorithm to estimate the weights. Finally we implement the algorithm from scratch using python and and also implement it using sklearn and compare the results.

The Google Colab with Explanation & Code:
colab.research.google.com/drive/1qmdfU8tzZ08D3O84qaD11Ffl9YuNUvlD

Written version in Medium:
medium.com/@adarsh_menon_/logistic-regression-explained-and-implemented-in-python-880955306060?

To learn more about Logistic Regression check out my references:
Artificial Intelligence, a modern approach - pg 726, 727
machinelearningmastery.com/logistic-regression-for-machine-learning
towardsdatascience.com/logit-of-logistic-regression-understanding-the-fundamentals-f384152a33d1
en.wikipedia.org/wiki/Logistic_regression

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Email: adarsh1021@gmail.com
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LinkedIn: linkedin.com/in/adarsh-menon-739573146
Github : github.com/adarsh1021

#machinelearning #datascience #regression #gradientdescent
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Logistic Regression in Python - Machine Learning Basics

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