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What is Offline Rainfall Prediction with MLR about?

This project report presents a study on offline rainfall prediction using Multiple Linear Regression (MLR) and ensemble learning techniques, including Gradient Boosting and Voting Regressor. The research utilizes historical meteorological data from Ghana to evaluate the effectiveness of these models, with results indicating that ensemble methods outperform traditional MLR in terms of prediction accuracy. The study aims to enhance understanding of meteorological modeling and provide insights for stakeholders

Author

gnaneshkatam0073

Language

EN