Describe briefly (not too long)

Give a brief description of each of the algorithms below Classification - Decision Trees - Random Forest - K-Nearest Neighbors - Naive Bayes - Logistic Regression Clustering - K-Means Clustering - Hierarchical clustering Reinforcement Learning - Upper Confidence Bound - Thompson sampling