Python Machine Learning Tutorial #7 - KNN p.3 - Implementation

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In this python machine learning tutorial I go through implementing the K nearest neighbor algorithm. I show how to train and test a KNN model and then how to look at unique data and see the neighbors for individual data points. ⭐ Kite is a free AI-powered coding assistant for Python that will help you code smarter and faster. Integrates with Atom, PyCharm, VS Code, Sublime, Vim, and Spyder. I've been using Kite for 6 months and I love it! https://kite.com/download/?utm_medium=referral&utm_source=youtube&utm_campaign=techwithtim&utm_content=description-only Text-Based Tutorial & Code: https://techwithtim.net/tutorials/machine-learning-python/k-nearest-neighbors-3/ ************************************************************** WEBSITE: https://techwithtim.net proXPN VPN: https://secure.proxpn.com/?a_aid=5c34b30d44d9d Use the Code "SAVE6144" For 50% Off! One-Time Donations: https://goo.gl/pbCE9J Support the Channel: https://www.patreon.com/techwithtim Twitter: https://twitter.com/TechWithTimm Join my discord server: https://discord.gg/pr2k55t ************************************************************** Please leave a LIKE and SUBSCRIBE for more content! Tags: tech with tim,python tutorials,sklearn python,sklearn tutorial,tensorflow python,tensorflow python tutorial,tensorflow python tutorial for beginners,machine learning with python,python machine learning for beginners,python machine learning tutorial,machine learning,artificial intelligence,machine learning tuto

Published 2019-01-22 · Watch on YouTube ↗
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