Give a brief description of each of the algorithms below as described in chapter


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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

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