Rainfall Prediction In India Using Machine Learning Algorithms

Abstract

Predicting how much it rains each day can help farmers work better. It also makes sure there's enough food & water for everyone to stay healthy. Many research studies have looked into weather data from different places in India to figure out rainfall patterns. Rainfall can be very tricky to predict, which is important since farming plays a big role in the country's economy.We need to use rainfall wisely. Planning is key! This will help tackle problems like droughts or floods that sometimes happen. In this study, we are using machine learning techniques and algorithms to look at rainfall patterns all over India. We analyzed the government's rain data, from 1901 until 2015.The goal? To see how well different machine learning algorithms can predict rain and compare their accuracy with some standard methods. For example, we looked at R2 & MAE metrics to check how accurate our predictions were. Guess what the study found out? The Random Forest machine learning algorithm did the best job! By focusing on these key points, our research contributes valuable insights into predicting rainfall effectively.