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Give a brief description of each of the algorithms below as described in chapters 6 and 7.

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