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

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! Text-Based Tutorial & Code: ************************************************************** WEBSITE: proXPN VPN: Use the Code “SAVE6144“ For 50% Off! One-Time Donations: Support the Channel: Twitter: Join my discord server: ************************************************************** 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 tutorial 2019