Course Description
Regression; Simple linear regression; Multiple linear regression; Classification; Logistic regression; K-nearest neighbors (K-NN); Support vector machine (SVM); Naïve Bayes; Decision tree; Random forest; Clustering; K-means clustering; hierarchical clustering; Deep learning;