-
linear model
- Linear Regression ✓
- Ridge Regression ✓
- Lasso Regression ✓
- ElasticNet Regression ✓
-
KNN Regression (with 2 distance metric) ✓
- uniform KNN ✓
- distance Weight KNN ✓
-
Tree Regression
- Decision Tree Regression
- Random Forest Regression
-
Support Vector Regression (SVR)
- K-Means
- Hierarchical Clustering
- DBSCAN
- Mean Shift Clustering
- KNN (with 2 distance metric) ✓
- uniform KNN ✓
- distance Weight KNN ✓
- Tree
- Decision Tree ✓
- Random Forest ✓
- Ensemble
- AdaBost ✓
- Regression :
- Logistic Regression ✓
- Ridge Regression
- Lasso Regression
- ElasticNet Regression
- Bayesian
- Gaussian ✓
- Multinomial ✓
- Minimum Distance Classifier ✓
- Support Vector Machine (SVM)
- Perceptron ✓
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- sandardScaler ✓
- MinMaxScaler ✓
- MaxAbsScaler ✓
- RobustScaler ✓
- Normalizer ✓
-
regression :
- MSE ✓
- MAE ✓
- R2-Score ✓
-
Classification:
- accourcy ✓
- recall ✓
- prescion ✓
- f1-score ✓
- cosine similarity ✓
- cosine similarity matrix ✓
- covariance
- covariance matrix
- correlation