K Means from Scratch 
K Means from Scratch
by Harrison Kinsley
Video Lecture 38 of 42
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Views: 1,207
Date Added: August 11, 2016

Lecture Description

In this machine learning tutorial, we improve our custom K Means clustering algorithm from scratch in python by creating a dynamically weighted bandwidth rather than a single, static, bandwidth.


Course Index

Course Description

The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.

In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks.


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