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

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.

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Topics: data-cleaning, data-science, data-visualization, feature-selection, forecasting-models, game-search, grid-search, hyperparameter-tuning, lightgbm, machine-learning, pandas, prophet, python, random-forest, scikit-learn, time-series-analysis, time-series-forecasting, xgboost

• Files
• Readme
• Dependencies