Applying our K Nearest Neighbors Algorithm 
Applying our K Nearest Neighbors Algorithm
by Harrison Kinsley
Video Lecture 18 of 42
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Date Added: August 11, 2016

Lecture Description

Now that we have our own custom K Nearest Neighbors that we learned how to program ourselves, and we have tested it against some simple data, we're ready to test it on a real dataset.

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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