1. Linear Regression

2. Logistic Regression

3. Naive Bayes

4. k-Nearest Neighbors (k-NN)

5. Support Vector Machines (SVM)

6. Decision Trees

7. Random Forests

8. Gradient Boosting (XGBoost, LightGBM)

9. k-Means Clustering

10. Hierarchical Clustering

11. Expectation-Maximization (EM)

12. Hidden Markov Models (HMM)

13. Conditional Random Fields (CRF)