This project focuses on analyzing basketball season statistics to evaluate their correlation with NBA All-Star selections. The is the repository for both the dataset and the accompanying machine learning code.
The analysis employs Random Forest and K-Nearest Neighbors algorithms, utilizing key Python data science libraries such as pandas, NumPy, scikit-learn, and others.