Scrape and explore data related to Cape Town's water crisis (Python3 application)
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Updated
May 22, 2024 - HTML
Scrape and explore data related to Cape Town's water crisis (Python3 application)
This project aimed to use satellite imagery and machine learning to track changes in water bodies over a four-year period, with the ultimate goal of informing decision-making and management strategies to preserve these resources in the face of climate change. The project utilized multiple datasets to gather a comprehensive picture of water bodies.
MyWater-Flint Source Code
This repository utilizes Machine Learning to solve the water crisis problem in Tanzania. This is one of the best use cases for machine learning to be used in the social causes helping people.
Multiple models based on Random Forest, a powerful ensemble method, to perform ternary classification of the functionality of water wells in Tanzania
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