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Created a prediction model to predict a players points per game (PPG) stat for the upcoming 2024-2025 season based on their PPG from the past 3 seasons (2022-2022, 2022-2023, 2023-2024). Used a Linear Regression model using sklearn to combine a player's data from all three seasons to help predict their PPG in the upcoming 2024-2025 season.

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NBA Player Points Per Game Prediction Model

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About

Created a prediction model to predict a players points per game (PPG) stat for the upcoming 2024-2025 season based on their PPG from the past 3 seasons (2022-2022, 2022-2023, 2023-2024). Used a Linear Regression model using sklearn to combine a player's data from all three seasons to help predict their PPG in the upcoming 2024-2025 season.

Technologies Used

Backend: Python, Flask, Pandas, ScikitLearn, Joblib

Frontend: Next.js, React, Axios, Tailwind, Toastify

Data from Kaggle

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About

Created a prediction model to predict a players points per game (PPG) stat for the upcoming 2024-2025 season based on their PPG from the past 3 seasons (2022-2022, 2022-2023, 2023-2024). Used a Linear Regression model using sklearn to combine a player's data from all three seasons to help predict their PPG in the upcoming 2024-2025 season.

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