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.

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 ...

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 ...

with machine-learning models showed promising results in improving prediction accuracy. This study highlights the potential of using ensemble techniques and hybrid BRT models for predicting ...

🌧️ 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 ...

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 ...

Abstract: Rainfall prediction is crucial across various sectors, and this research examines the effectiveness of machine learning (ML) algorithms in forecasting rainfall occurrences using ...