xXhuntinXx/PREDICTING-CO2-EMISSIONS-IN-RWANDA

Project Overview This project is focused on predicting CO₂ emissions in Rwanda using data-driven insights derived from historical atmospheric data and environmental indicators. By leveraging machine learning models, we aim to provide predictive insights to aid Rwanda in understanding emissions trends and forming strategies for sustainable development and climate action. Repository Contents Data Analysis Report: A detailed analysis report outlining the data cleaning, exploration, and insights derived from the dataset. Presentation: A slide presentation summarizing the project's objectives, methodology, findings, and conclusions. Python Files: Scripts for Exploratory Data Analysis (EDA) and Model Building, including data preprocessing steps, feature engineering, and model training for emissions prediction.