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1. NBA-Simple-Prediction-Models NBA-Simple-Prediction-Models Public

   NBA Elo and W-L Models. The Elo model is weighted by margin of victory and there are home-court advantage and back-to-back factors. The W-L model has an HCA factor. ~64.5-65% accuracy on recent sea…

   Jupyter Notebook 1

2. NBA-Prediction-Models-with-Random-Forest-XGBoost-and-Neural-Network NBA-Prediction-Models-with-Random-Forest-XGBoost-and-Neural-Network Public

   NBA Game Prediction Models using Random Forest, XGBoost and Neural Networks. Uses a DataFrame of all games in the past 12 years, with the following features for each team: margin-adjusted Elo ratin…

   Jupyter Notebook 1

3. Jupyter-Notebook-Assignment Jupyter-Notebook-Assignment Public

   My Jupyter Notebook Assignment

   Jupyter Notebook

4. NBA-ODG-Rating-Prediciton-Model NBA-ODG-Rating-Prediciton-Model Public

   A player-based prediction model made using Game Score and Offensive/Defensive Rating. 68.2% accuracy on 2023-24 season and 65.6% on 2024-25 season up to Dec. 16.

   Jupyter Notebook

5. webflyx webflyx Public

6. megacorp megacorp Public

   Forked from bootdotdev/megacorp

   The starter repo for the Git 2 course on Boot.dev

   Shell