PUBG Game Prediction

Project Discription

The PUBG Game Prediction project uses machine learning techniques to predict player or match outcomes in the PUBG game. It processes in-game data through steps such as data wrangling, feature engineering, and modeling. The project leverages the CatBoost algorithm, which is highly effective for tabular data, and evaluates the model's performance using metrics like Mean Squared Error (MSE) and R² Score. Visualizations are also employed to better understand the data and results.

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