Overview
Supervised Algorithms
| Algorithm | Type |
|---|---|
| Naive Bayes | Classification |
| Logistic Regression | Classification |
| K-Nearest Neighbor (KNN) | Classification |
| Random Forest | Classification/Regression |
| Support Vector Machine (SVM) | Classification/Regression |
| Decision Tree | Classification/Regression |
| Simple Linear Regression | Regression |
| Multivariate Regression | Regression |
| Lasso Regression | Regression |
Unsupervised Algorithms
| Algorithm | Type |
|---|---|
| K-Means Clustering | Clustering |
| DBSCAN Algorithm | Clustering |
| Principal Component Analysis | Clustering |
| Independent Component Analysis | Clustering |
| Frequent Pattern Growth | Association |
| Apriori Algorithm | Association |
| Z-score Algorithm | Anomaly Detection |
| Isolation Forest Algorithm | Anomaly Detection |
Semi-Supervised Algorithms
| Algorithm | Type |
|---|---|
| Self-Training | Classification/Regression |
| Co-Training | Classification/Regression |
Reinforcement Algorithms
| Algorithm | Type |
|---|---|
| Policy Optimization | Model-Free |
| Q-Learning | Model-Free |
| Learn the Model | Model-Based |
| Given the Model | Model-Based |