• Mr. Shaik Subhan
• Mr. V.RaviKanth

Rainfall prediction is the one of the important techniques 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 data is having multiple meteorological parameters and to predict the rainfall in more precise. The Mean Square Error (MSE), accuracy, correlation are the parameters used to validate the proposed model. From the results, the proposed machine learning model provides better results than the other algorithms in the literature.

Rainfall Prediction Using Lasso Regression Technique

" Rainfall Prediction Using Lasso Regression Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g180-g183, July-2023, Available :http://www.jetir.org/papers/JETIR2307628.pdf

" Rainfall Prediction Using Lasso Regression Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg180-g183, July-2023, Available at : http://www.jetir.org/papers/JETIR2307628.pdf