In this workshop, I will introduce some useful and famous algorithms in supervised and unsupervised machine learning tasks, namely, support vector machine (SVM), naive bayes, k-nearest neighbors (KNN), decision trees, random forest, regression algorithms, K-means, etc. I'll be demonstrating them with code examples.