K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14
In the last part we introduced Classification, which is a supervised form of machine learning, and explained the K Nearest Neighbors algorithm intuition. In this tutorial, we're actually going to apply a simple example of the algorithm using Scikit-Learn, and then in the subsquent tutorials we'll build our own algorithm to learn more about how it works under the hood.
To exemplify classification, we're going to use a Breast Cancer Dataset, which is a dataset donated to the University of California, Irvine (UCI) collection from the University of Wisconsin-Madison. UCI has a large Machine Learning Repository.
https://pythonprogramming.net
/ sentdex
/ pythonprogramming.net
https://plus.google.com/+sentdex
On this page of the site you can watch the video online K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14 with a duration of hours minute second in good quality, which was uploaded by the user sentdex 01 May 2016, share the link with friends and acquaintances, this video has already been watched 204,475 times on youtube and it was liked by 2.2 thousand viewers. Enjoy your viewing!
