We'll walk through 7 python data science projects that are good for beginners. All of these projects will come with full code and links to video walkthroughs.
All of these projects use python and Jupyter, so you can easily follow along and build them. In the projects, we'll use skills like web scraping, data analysis, data cleaning, data visualization, and machine learning.
All the projects are in depth enough to use in your portfolio, and come with next steps so you can keep building them on your own.
Chapters
00:00 Intro
01:37 Recommend books
03:54 Forecast the weather
05:51 Predict the NBA MVP
07:30 Recommend movies
09:26 Predict football winners
11:02 Classify dog breeds
12:16 Predict the stock market
13:42 Conclusion
The projects
1. Recommend books
Video Walkthrough Part 1 - • Build A Book Recommendation System With Ma...
Video Walkthrough Part 2 - • Book Recommendations With Collaborative Fi...
Code: https://github.com/dataquestio/projec...
2. Forecast the weather
Video Walkthrough: • Predict The Weather with Machine Learning:...
Code: https://github.com/dataquestio/projec...
3. Predict the NBA MVP
Video Walkthrough Part 1: • Web Scraping NBA Stats With Python: Data P...
Video Walkthrough Part 2: • Cleaning NBA Stats Data With Python And Pa...
Video Walkthrough Part 3: • Predicting the NBA MVP: Machine Learning P...
Code: https://github.com/dataquestio/projec...
4. Recommend movies
Video Walkthrough: • Movie Recommendation System With Python An...
Code: https://github.com/dataquestio/projec...
5. Predict football winners
Video Walkthrough Part 1: • Web Scraping Football Matches From The EPL...
Video Walkthrough Part 2: • Predict Football Match Winners With Machin...
Code: https://github.com/dataquestio/projec...
6. Classify dog breeds
Video Walkthrough: • Image Classification With Deep Learning An...
Code: https://github.com/dataquestio/projec...
7. Predict the stock market
Video Walkthrough: • Predict The Stock Market With Machine Lear...
Code: https://github.com/dataquestio/projec...
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