PROJECT TITLE :

Machine Learning based Rainfall Prediction

ABSTRACT:

One of the most significant techniques for predicting meteorological conditions in any country is rainfall prediction. For the Indian dataset, this research provides a rainfall forecast model based on Multiple Linear Regression (MLR). Multiple meteorological characteristics are included in the input data, allowing for a more precise prediction of rainfall. The suggested model is validated using the Mean Square Error (MSE), accuracy, and correlation metrics. According on the findings, the suggested machine learning model outperforms existing techniques in the literature.