miketobz/ML-Rainfall-Prediction
Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult than before due to the extreme climate variations. Machine learning techniques can predict rainfall by extracting hidden patterns from historical weather data.
This tool helps meteorologists, hydrologists, or agricultural planners predict daily rainfall intensity in a specific region. By inputting historical atmospheric features like temperature, humidity, and wind speed, it outputs a forecast of how much rain to expect. This allows for better water resource management, crop planning, and early disaster preparedness.
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Use this if you need to accurately forecast daily rainfall based on past weather conditions to inform critical decisions in sectors like agriculture or water management.
Not ideal if you need long-range climate projections or real-time, instantaneous weather updates for short-term events.
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Jupyter Notebook
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Last pushed
Apr 30, 2024
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