Скачать или смотреть Машинное обучение с Python! K Nearest Neighbours (KNN)

Tutorial on how to program a K Nearest Neighbors (KNN) Classification algorithm within Python. Learn how to code out the KNN algorithm, implement the algorithm to classify a variable within a data set and understand the drawbacks of KNN.


GitHub repo containing the notebook under "Machine Learning Workshops" - https://github.com/tudev/Workshops-20...


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-----Video Chapters-----
0:00 - Intro
0:19 - Definition of K Nearest Neighbors (KNN) Algorithm
0:50 - Loading in data set using pandas
2:10 - Creating dummy variables
3:01 - Correlation between dependent and independent variables
4:28 - Visualizing clustering within the data set
5:22 - KNN algorithm from scratch
19:21 - Measuring the accuracy of KNN classifier
20:56 - KNN algorithm using Scikit-Learn
22:55 - Issues with KNN
31:27 - References and additional learning