NBA Player Performance Predictor

Overview

The NBA Data Analysis Team Proj.ipynb is the main Jupyter Notebook file that predicts NBA player performance using historical data.

Components

• NBA Stats API Web Scraping (completed).ipynb: This notebook contains the web scraper that gathers data from the NBA Stats API.
• final_data.xlsx: This Excel file includes the cleaned and structured data that is used in the predictive model.

Features

• Predicts NBA player performance based on historical data.
• Utilizes web scraping to gather data from the NBA Stats API.
• Processes and cleans data for model input.
• Provides insights and visualizations based on the predictions.

Usage

1. Run NBA Data Analysis Team Proj.ipynb to generate player performance predictions.
2. Use NBA Stats API Web Scraping (completed).ipynb to update the dataset with the latest player stats.

Requirements

• Python 3.8+
• Jupyter Notebook
• pandas, numpy, and other required Python packages

License

This project is licensed under the MIT License - see the LICENSE file for details.