Weather forecasting - Rain Prediction

“Rainfall Prediction using Machine Learning”, The project aims to predict whether it will rain today or not based on atmospheric factors such as temperature, humidity, and wind speed. The project uses machine learning algorithms such as XGBoost, Logistic Regression, and Support Vector Machine to predict rainfall. The dataset used in the project is publicly available and contains information on atmospheric factors and rainfall in a particular region. The project also uses data analysis techniques such as feature engineering, cross-validation, and model evaluation to improve the accuracy of the prediction models.