Predicting PM2.5 levels in African cities using ML models
A brief project overview:
Title: African Air Quality Prediction
Objective: Predict PM2.5 levels using machine learning.
Models Used: Linear Regression, Random Forest, XGBoost.
Results Summary: Include final metrics.
How to Run: Steps for running the notebook.