Carbon Emission Forecasting for Kenya

In this project, I forecasted future carbon emissions using real-world global datasets filtered to focus on Kenya. I performed data cleaning and preprocessing, exploratory data analysis (EDA), and trained a machine learning model to predict future emission trends. The goal was to understand local patterns and contribute toward sustainable decision-making using data. – Data sourcing and filtering – The modeling approach (e.g., linear regression or time series) – Graphs and results interpretation