Machine Learning (Video Book)

Machine Learning Tutorial Videos

1. How to Compute Average F1, Macro F1 and Micro F1 for Multi-Class Classification

2. Logistic Regression

3. Multi-Class Classifier (One-Vs-All)

4. Random Forest based Classification

5. Gradient Boosting Simplified (Classification)

6. XGBoost Simplified (Classification)

7. Stacking “Stacked Generalization” (A winning Ensemble Classification Strategy)

8. Kullback-Leibler Divergence (KL Divergence)

Kullback-Leibler Divergence (KL Divergence) Part-1

Kullback-Leibler Divergence (KL Divergence) Part-2

Kullback-Leibler Divergence (KL Divergence) Part-3