• Mrs. Swamisetti Sowjanya
• Mr. G.Ravi kumar

Rainfall prediction is the one of the important technique to predict the climatic conditions in any country. This paper proposes a rainfall prediction model using Linear Regression(LR), Ridge regression ,Lasso regression, Decision Tree Regression ,Random Forest regression for Indian dataset. The input facts is having a couple of meteorological parameters and to expect the rainfall in more in extra unique. The Mean Square Error (MSE), accuracy, correlation are the parameters used to validate the proposed model. From the consequences, the proposed machine learning version provides better effects than the other algorithms in the literature.

Linear Regression, Rainfall, Prediction, Machine Learning, Accuracy

"Rainfall Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.e386-e390, February-2024, Available :http://www.jetir.org/papers/JETIR2402457.pdf

"Rainfall Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppe386-e390, February-2024, Available at : http://www.jetir.org/papers/JETIR2402457.pdf