Here I will post machine learning tutorials from beignning to advanced levels.
- Classification
- MNIST Dataset
- Binary Classifier
- Performance Measures
- Measuring Accuracy Using Cross-Validation
- Confusion Matrix
- Precision/Recall
- The ROC Curve
- Random Forest vs Stochastic Gradient Descent
- Multiclass Classification
- One-versus-the-one (OvR) AND one-versus-one(OvO)
- Error Analysis
- Multilabel Classification
- Multioutput Classification