KNN (K Nearest Neighbors) in Python - Machine Learning with Scikit-Learn

🔴 Tutorial on KNN (K Nearest Neighbors) Classification Algorithm in Python - Machine Learning with Scikit-Learn (Sklearn) [Both Theory and sklearn implementation in python] 💎 In this video, we will talk about the KNN (K-Nearest Neighbor) Classification Algorithm Theory and the Scikit-Learn (Sklearn) implementation in the Python Programming language. The whole concept of the KNN Classifier Algorithm is that it considers the K-Nearest Neighbor Points around each point, and based on the majority vote, it determines the label/class of each data point. ➖➖➖➖➖➖➖➖➖➖ 👍🏼👍🏼 👍🏼 I really request you to like the videos (at least the ones that you like). It really support the content. 📦 Download Dataset file in: https://t.me/Koolac_Data/23 💻 Source Code: https://t.me/Koolac_Data/30 ✏️ If you liked the video, PLEASE leave a comment for support. The only signals that you give us is these stuff. So please do me a favor and leave a comment. ➖➖➖➖➖➖➖➖➖➖ ▶️ Our Machine Learning Tutorial Playlist: https://youtube.com/playlist?list=PLGZqdNxqKzfaxTXCXcNQkIfP1EJm2w89B ⬅️ Previous Video: Feature Scaling in Scikit-Learn: https://youtu.be/G7xRVW9CfHY ➡️ Next Video: Coming Soon... ➖➖➖➖➖➖➖➖➖➖ ⏱ Chapters ⏱ 0:07 - KNN Classifier Theory 1:40 - KNN Algorithm in Sklearn Python ➖➖➖➖➖➖➖➖➖➖