This project utilizes machine learning techniques to predict how NBA players will progress in future seasons. Additionally, it aims to forecast season statistics, including identifying potential future stat leaders and MVP candidates.

Project Structure Data: The project uses NBA player data sourced from NBA_webscraping, stored in a CSV file (nba_player_data.csv). Setup and Dependencies: The project is built using Python and relies on popular libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn.