A Indian Rainfall Prediction Using Machine Learning Algorithms: A Comparative Study

This study is intended to make rain forecasts more accurate so that there can be early warnings and measures against rain-caused disasters. We do this by using sophisticated computer programs which take into account many things like the air, the ocean, and land. In order to come up with the most precise model for predicting when it will rain heavily or not at all, we have to prioritize what data should be used first; select different methods which includes Support Vector Machines, Decision Trees, Random Forests among others while working on feature extraction through machine learning algorithms like Naive Bayes Classifier or Logistic Regression. We want our systems to always predict right - never wrong about whether there's going to be a lot of rainfall tomorrow. Our approach optimizes over daily IMD Indian Meteorological Department rainfall records from website data.gov.in.