Hierarchical Clustering explained in 60 seconds
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YouTubeBookNaja
Hierarchical Clustering explained in 60 seconds
A quick beginner-friendly explanation of hierarchical clustering in machine learning: how it builds a tree of clusters by merging closest points step by step, and how to read a dendrogram to pick the right number of clusters.
1 month ago
Shorts
If you are beginning to learn machine learning, the number of model names can make the field seem much more complicated than it actually is, but most models can be organized into a few major families based on how they learn and the kinds of problems they are designed to solve. Linear and logistic regression learn relatively simple relationships between variables, while decision trees, random forests, and gradient-boosting models make predictions through combinations of decision rules. K-nearest
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