A regression-based machine learning model to estimate individual carbon emissions based on daily habits.
- Predicts carbon footprint from transport, energy use, and diet
- Achieves 92.31% R² score with robust preprocessing and tuning
- Visualizes emissions with actionable sustainability insights
Python, Scikit-learn, Pandas, NumPy, Matplotlib