Uploaded December 2022 | Updated September 2026, 2 hours ago
Python data science projects for beginners that can help you land your dream job. These are really good projects that you can add to your portfolio to demonstrate that you have the hands-on experience everyone is looking for, even from a newbie.
Here are the 5 projects that we've covered in this video:
1. Delivery Duration Prediction by DoorDash
Project Link: platform.stratascratch.com/data-projects/delivery-duration-prediction?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
2. Market Analysis in Dublin by Airbnb
Project Link: platform.stratascratch.com/data-projects/market-analysis-dublin?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
3. Building a Chatbot
Project Link: dzone.com/articles/python-chatbot-project-build-your-first-python-pro
4. Sentiment Analysis by Twitter
Project Link: geeksforgeeks.org/twitter-sentiment-analysis-using-python
5. House Price Prediction in California
Project Link: kaggle.com/datasets/harrywang/housing
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π Subscribe to our channel: bit.ly/2GsFxmA
π Playlist for data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Practice real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
______________________________________________________________________
Timestamps:
Intro: (0:00βββ)
Delivery Duration Prediction by DoorDash: (0:30)
Market Analysis in Dublin by Airbnb: (1:22)
Building a Chatbot: (2:16)
Sentiment Analysis by Twitter: (3:00)
House Price Prediction in California: (3:48)
Conclusion: (4:26ββ)
______________________________________________________________________
About The StrataScratch Platform:
StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want interview practice with real data science interview questions, visit platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
______________________________________________________________________
#PythonProjects #PythonProjectsForDataScience
Python data science projects for beginners that can help you land your dream job. These are really good projects that you can add to your portfolio to demonstrate that you have the hands-on experience everyone is looking for, even from a newbie.
Here are the 5 projects that we've covered in this video:
1. Delivery Duration Prediction by DoorDash
Project Link: platform.stratascratch.com/data-projects/delivery-duration-prediction?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
2. Market Analysis in Dublin by Airbnb
Project Link: platform.stratascratch.com/data-projects/market-analysis-dublin?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
3. Building a Chatbot
Project Link: dzone.com/articles/python-chatbot-project-build-your-first-python-pro
4. Sentiment Analysis by Twitter
Project Link: geeksforgeeks.org/twitter-sentiment-analysis-using-python
5. House Price Prediction in California
Project Link: kaggle.com/datasets/harrywang/housing
______________________________________________________________________
π Subscribe to our channel: bit.ly/2GsFxmA
π Playlist for data science interview questions and answers: bit.ly/3jifw81
π Playlist for data science interview tips: bit.ly/2G5hNoJ
π Practice real data science interview questions: platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
______________________________________________________________________
Timestamps:
Intro: (0:00βββ)
Delivery Duration Prediction by DoorDash: (0:30)
Market Analysis in Dublin by Airbnb: (1:22)
Building a Chatbot: (2:16)
Sentiment Analysis by Twitter: (3:00)
House Price Prediction in California: (3:48)
Conclusion: (4:26ββ)
______________________________________________________________________
About The StrataScratch Platform:
StrataScratch (platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want interview practice with real data science interview questions, visit platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
______________________________________________________________________
#PythonProjects #PythonProjectsForDataScience
![SMOTE: Tackling Imbalanced Data in Machine Learning
In this video, we delve into the challenges of imbalanced data in machine learning. Discover effective solutions such as the Synthetic Minority Oversampling Technique (SMOTE) and supplying class weight information to the model during training.
Watch the full tutorial:
π Data Project: Analyzing Review Sentiment for Accurate Ratings [Part 1]: https://youtu.be/Qh9ajFNeIEc
π Subscribe to my channel: https://bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
π Playlist for data science interview tips: https://bit.ly/2G5hNoJ
π Playlist for data science projects: https://bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: https://platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+rotten+tomatoes+shorts+s2+p1
About The Platform:
StrataScratch (https://platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+rotten+tomatoes+shorts+s2+p1) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?code_type=1&utm_source=youtube&utm_medium=click&utm_campaign=YT+rotten+tomatoes+shorts+s2+p1. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com
#datascienceproject #datascience #dataanalytics SMOTE: Tackling Imbalanced Data in Machine Learning](https://i.ytimg.com/vi/AuNuF7lCI8w/mqdefault.jpg)




![Data Ranking: Python Pandas and SQL Equivalents [Part 2]
In this video, we dive deeper into ranking methods and functions in Python using data frames. We discuss additional parameters that can help refine the ranking function, making it more flexible and adaptable to different data sets. We also explore the SQL equivalence of ranking methods, which will be helpful for those familiar with SQL.
π Watch our previous tutorial:
How to Rank() Your Data In Python Pandas [Part 1]: https://youtu.be/2uu0prXMhfU
π§βπ» Go to the questions through the links below and follow along with us:
π Question 1: https://platform.stratascratch.com/coding/9611-find-the-80th-percentile-of-hours-studied?code_type=2&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+sql+ranking
π Question 2: https://platform.stratascratch.com/coding/10160-rank-guests-based-on-their-ages?code_type=2&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+sql+ranking
π Question 3: https://platform.stratascratch.com/coding/10161-ranking-hosts-by-beds?code_type=2&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+sql+ranking
π Question 4: https://platform.stratascratch.com/coding/10351-activity-rank?code_type=2&utm_source=youtube&utm_medium=click&utm_campaign=YT+python+sql+ranking
π Subscribe to my channel: https://bit.ly/2GsFxmA
π Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
π Playlist for data science interview tips: https://bit.ly/2G5hNoJ
π Playlist for data science projects: https://bit.ly/StrataScratchProjectsYouTube
π Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+python+sql+ranking
Timeline:
Intro: (0:00βββ)
Percentage Ranking in Python: (0:43)
Ranking in SQL: (4:10)
Conclusion: (β7:26)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+python+sql+ranking), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+python+sql+ranking. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
#pandaspythontutorial #pythondatascience #sqlrank Data Ranking: Python Pandas and SQL Equivalents [Part 2]](https://i.ytimg.com/vi/Cg66PLiW9L0/mqdefault.jpg)




