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)