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 Listen the episode on all podcast platform and share your feedback as comments here Do check the episode on various platform follow me on instagram https://www.instagram.com/podcasteramit Apple https://podcasts.apple.com/us/podcast/id1544510362 Huhopper Platform https://hubhopper.com/podcast/tech-stories/318515 Amazon https://music.amazon.com/podcasts/2fdb5c45-2016-459e-ba6a-3cbae5a1fa4d Spotify https://open.spotify.com/show/2GhCrAjQuVMFYBq8GbLbwa
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