This project focuses on predicting rainfall using machine learning ... and pressure to make predictions. Predict the occurrence of rainfall based on historical weather data. Explore and apply machine ...

This study investigated the application of machine learning models to monthly rainfall data in Rabat, Morocco, aiming to enhance forecast accuracy using a multi-view stacking learning technique.

developed a method that can provide more accurate predictions of local precipitation, using a novel machine-learning approach. Precipitation can vary enormously in time and space. Large-scale ...

In his 1922 book, “Weather Prediction By Numerical Process,” Richardson tried to write an equation that he could use ... to rain, snow or hail. It’s possible that machine learning models ...

Rainfall forecasts helps to prevent floods and even helps in agriculture for growing crops. Machine learning aids in rainfall prediction by using unknown patterns from historical weather data. In this ...

🌧️ A Machine Learning-based Rainfall Prediction system with EDA, ML models, a Power BI dashboard, and a web interface for real-time forecasting. 🌧️ Rainfall Prediction in Australia using Machine ...

Abstract: The title is “Rainfall Prediction Using Machine Learning”. The initiative's dataset is written in Python and stored in Microsoft Excel. A wide range of machine learning algorithms are used ...