In this machine learning project, linear regression model was built to predict NBA player's rating in the next release of the NBA 2K video game according to current season stats.
Folder structure:
- client : This contains UI website code
- server: Python flask server
- model: Contains python notebook and dataset for model building
Used in this project:
- Python
- Numpy and for data cleaning
- Matplotlib & Seaborn for data visualization
- Sklearn for model building
- Jupyter notebook, Visual Studio Code and as IDE
- Python flask for http server
- HTML/CSS/Javascript for UI
Final prediction example:
