Regional precipitation forecasting in Israel using machine learning
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Updated
Jul 9, 2025
Regional precipitation forecasting in Israel using machine learning
End-to-end time series forecasting project focused on predicting annual rainfall trends and identifying peak rainfall periods using historical meteorological data.
ML pipeline to forecast Mumbai's monthly rainfall using 121 years of IMD data. Compares XGBoost, Random Forest, SARIMA, LSTM, and Prophet — XGBoost achieves a ~69% RMSE reduction over SARIMA. Includes 12-month forward forecast and trained model.
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