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deliprofesor / Game-Search-Volume-Prediction-Machine-Learning-Models-and-Forecasting

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This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.

python data-science machine-learning random-forest scikit-learn pandas data-visualization feature-selection xgboost lightgbm grid-search data-cleaning prophet hyperparameter-tuning forecasting-models time-series-analysis time-series-forecasting game-search
  • Updated Dec 25, 2024
  • Python

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