This episode is all about the term Label and Unlabel data, Superwise and Unsuper wise learning. I have tried my level best to explain the terms in easiest way. Following algorithms are covered   Classification  Logsitic Regression Naive Bayes Classifiers K-NN (k nearest neighbors) Decision Trees Support Vector Machine Types of Unsupervised Learning:- Clustering Exclusive (partitioning) Agglomerative Overlapping Probabilistic Clustering Types:- Hierarchical clustering K-means clustering Principal Component Analysis Singular Value Decomposition Independent Component Analysis

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