1. Supervised Learning 1-1. Classification -Binary Classification -Multi-class Classification -Decision Trees 1-2. Regression -Linear Regression 1) Simple Linear Regression 2) Multiple Linear Regression -Polynomial Regression -Logistic Regression 2. Unsupervised learning 2-1. Clustering -K-Means Clustering -Hierarchical Clustering -DBSCAN (Density-Based Spatial Clustering of Applications with No..
