m101yosef/rwanda-carbon-emissions

Building a machine learning model using open-source CO2 emissions data (from Sentinel-5P satellite observations) to predict carbon emissions. # Rwanda Carbon Emissions Prediction Machine Learning model using open-source CO2 emissions data (from Sentinel-5P satellite observations) to predict carbon emissions. ### **About the problem** The ability to accurately monitor carbon emissions is a critical step in the fight against climate change. Precise carbon readings allow researchers and governments to understand the sources and patterns of carbon mass output. While Europe and North America have extensive systems in place to monitor carbon emissions on the ground, there are few available in Africa. ### **Usage** These solutions will enable governments and other actors to estimate carbon emission levels across Africa, even in places where on-the-ground monitoring is not possible. ### **Dataset** Darius Moruri, Amy Bray, Walter Reade, Ashley Chow. (2023). Predict CO2 Emissions in Rwanda. Kaggle. ### **GitHub repo** Mohamed Yosef. (Sep 2023). Rwanda Carbon Emissions. GitHub. # **Requirements** - pandas - matplotlib - seaborn - scikit-learn # **Methods** Random Forest Rogressor with `random_state = SEED` and `n_jobs = -1`. # **Acknowledgements** (1) Special thanks Darius Moruri from Zindi for his work in preparing the dataset and starter notebooks. © Created by MohamedYosef101 | LinkedIn · Medium · GitHub