Machine Learning algorithm with scikit-learn 以scikit-learn實踐機器學習的演算法 Regression Linear Regression Logistic Regression Support Vector Regression Classification Naive bayes Iterative Dichotomiser 3 (ID3) Decision Tree Decision Tree (take the two corresponding features) Decision Tree (graph) Random Forest K-nearest neighbors Support Vector Machine Clustering K-means Clustering Hierarchical Clustering Agglomerative hierarchical clustering Density-Based Spatial Clustering of Applications with Noise (DBSCA) Dimension Reduction Principal Component Analysis (PCA) Linear Discriminant Analysis (LDA) Regression Classification Clustering Dimension Reduction