Enhancing Rainfall Prediction with Machine Learning

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This presentation delves into the prediction of next-day rainfall using machine learning, focusing on data from Australia over a decade. The study navigates the complex challenges of weather variability, handling an imbalanced dataset, and managing missing data. Various models like Logistic Regression and Random Forest were employed, with Random Forest achieving the highest accuracy. Exploratory data analysis highlighted key factors, such as humidity and pressure's influence on rainfall. The...