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The Evolution of NBA Scoring

An analysis of how NBA scoring has transformed over time, with a focus on the revolutionary impact of the 3-point shot, culminating in a predictive model for game outcomes.

Overview

This project explores the NBA's scoring evolution from 1946 to 2023, examining:

• The transformation of scoring patterns since the 3-point line's introduction
• Historical trends in shooting accuracy and shot selection
• The growing influence of 3-point shooting on team strategy
• Modern scoring patterns and their impact on game outcomes
• Predictive modeling for game results

Features

• Comprehensive statistical analysis of NBA scoring evolution
• Interactive data visualizations showing historical trends
• Team performance comparisons across different eras
• Game prediction system using modern team metrics
• Machine learning model using Random Forest Classifier

Requirements

• Python 3.x
• pandas
• matplotlib
• scikit-learn
• IPython

Usage

1. Clone the repository
2. Install required packages: pip install -r requirements.txt
3. Run nbapredictor.ipynb in Jupyter Notebook
4. Explore historical analysis and visualizations
5. Use the prediction interface to forecast game outcomes

Data Source

Data retrieved from: Basketball Dataset on Kaggle

License

MIT License