My machine learning practice

Classifying

k Nearest Neighbor (knn)

Logistic Regression

Support Verctor Machine (SVM)

Neural Networks

Decision Tree

ID3
CART

Bayes Methods

Naive Bayes
Bayes Networks

Ensemble Learning

Boosting
Bagging
Random Forest

Regression

Linear Regression

Support Verctor Regression (SVR)

Clusterring

Prototype-Based Clustering

k-means
Gauss Mixture Modle (GMM)
Learning Verctor Quantization (LVQ)

Density-Based Clustering

Density-Based Spatial Clustering of Applications with Noise (DBSCAN)

Hierarchical Clustering

AGNES Algorithm

Dimentional reduction

Multiple Dimensional Scaling (MDS)
Principal Component Analysis (PCA)