1. Regression:

• Linear Regression ✓
• Ridge Regression ✓
• Lasso Regression ✓
• ElasticNet Regression ✓
• Decision Tree Regression
• Random Forest Regression
• Support Vector Regression (SVR)
• Bayesian Regression
• KNN Regression ✓
• Weight KNN Regression ✓

2. Clustering:

• K-Means
• Hierarchical Clustering
• DBSCAN
• Mean Shift Clustering
• Gaussian Mixture Models
• Spectral Clustering
• Agglomerative Clustering
• Affinity Propagation

3. Classification:

• KNN ✓
• Weight KNN ✓
• Decision Tree
• Random Forest
• Logistic Regression ✓
• Bayesian ✓
• Minimum Distance Classifier ✓
• Support Vector Machine (SVM)
• Perceptron ✓

3. Dimensionality Reduction:

• Principal Component Analysis (PCA)
• Linear Discriminant Analysis (LDA)
• Fisher's Linear Discriminant Analysis (FLDA)