Algorithm progress

1. Repression

1.1 Linear Regression

• 1.1.1 Lasso regression
• 1.1.2 Elastic Net

1.2 Polynomial Regression

1.3 Support Vector Machine

1.4 Decision Tree

1.5 Extra-Trees

1.6 Random Forest

1.7 Xgboost

1.8 Multi-layer Perceptron

1.9 K-Nearest Neighbour

1.10 Gradient Boosting

1.11 SGD regression

2.Classification

2.1 Logistic Regression

2.2 Support Vector Machine

2.3 Random Forest

2.4 Decision Tree

2.5 Extra-Trees

2.6 Xgboost

2.7 Multi-layer Perceptron

2.8 Gradient Boosting

2.9 K-Nearest Neighbors

2.10 SGD

3.Clustering

3.1 KMeans

3.2 DBSCAN

3.3 Agglomerative

4.Dimensionality reduction

4.1 PCA

4.2 T-SNE

4.3 MDS