Creating Our K Nearest Neighbors A 
Creating Our K Nearest Neighbors A
by Harrison Kinsley
Video Lecture 16 of 42
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Date Added: August 11, 2016

Lecture Description

Now that we understand the intuition behind how we calculate the distance/proximity between feature sets, we're ready to begin building our own version of K Nearest Neighbors in code from scatch.

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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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