Global CO₂ emissions analysis
~2,640 country-year observations analyzed with statistical, ML, clustering, and forecasting methods; Ridge Regression reached 0.989 test R².
- Status
- Coursework
- Period
- Apr 2026
- Area
- Analytics
- Code
- Code not public
- Stack
- Python
- R
- TensorFlow
- scikit-learn
- XGBoost
- Country-year observations
- ~2,640
- Test R² (Ridge Regression)
- 0.989
Problem
Find what drives national CO₂ emissions across countries and years.
Approach
I analyzed ~2,640 country-year observations with statistical, machine learning, clustering, and forecasting methods.
Results
- Identified energy consumption per capita as a key CO₂ predictor.
- Ridge Regression reached 0.989 test R².