Supervised Machine Learning project with the purpose of solving a classification problem with real data.
The following models were used and compared:
- Decision Tree
- Random Forest
- Adaptive Boosting
- Gradient Boosting
- Grid Search with cross-validation
Software and Libraries: Python, Scikit-Learn, Pandas, Matplotlib, Numpy, Seaborn
Project source: Pierian Data Inc.