Ensemble Learning with Python

Implemented and compared two ensemble learning techniques for classification: 🔹 Random Forest (RF) 🔹 Gradient Boosting (GB) 🔹 Trained and evaluated both models 🔹 Compared their classification performance using evaluation metrics This helped me understand how different ensemble methods can be applied to classification problems and model performance evaluation.