| Regression | Two-class Classification | Multi-class Classification | Clustering | Anomaly Detection | Dimensionality Reduction |
|---|---|---|---|---|---|
| Linear Regression1, 2 | Logistic Regression1, 2 | Logistic Regression1, 2 | Gaussian mixture model1 | PCA-based Anomaly Detection1 | Principal Component Analysis1 |
| Bayesian Linear Regression1 | Bayes’ Point Machine1 | Linear Discriminant Analysis1 | Linear Discriminant Analysis1 | ||
| Boosted Decision Tree1 | Boosted Decision Tree1 | Kernel Approximation1 | |||
| Decision Forest1, 2 | Decision Forest1, 2 | Decision Forest1, 2 | Locally Linear Embedding1 | ||
| Fast Forest Quantile1 | Decision Jungle1 | Decision Jungle1 | |||
| Support Vector Regression1 | Support Vector Machine1, 2 | Support Vector Machine1 | |||
| Ridge Regression1 | Locally Deep Support Vector Machine1 | ||||
| Linear Support Vector Classifier1 | |||||
| K Nearest Neighbors1 | K Nearest Neighbors1 | K Nearest Neighbors1 | K-means1 | K-means1, 2 | |
| Ordinal1 | One-v-all1 | ||||
| SGD Regressor1 | SGD Classifier1 | ||||
| Poisson1 | |||||
| Lasso1 | |||||
| ElasticNet1 | |||||
| Neural Network1, 2 | Neural Network1, 2 | Neural Network1, 2 |
Created
October 9, 2018 18:53
-
-
Save nuhil/7e579f268f0198d2fb31743539791fae to your computer and use it in GitHub Desktop.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment