In this video we will understand how K nearest neighbors algorithm work. Then write python code using sklearn library to build a knn (K nearest neighbors) model. The end, I have an exercise for you to practice concepts you learnt in this video.
Code: https://github.com/codebasics/py/blob/master/ML/17_knn_classification/knn_classification_tutorial.ipynb
Exercise: https://github.com/codebasics/py/blob/master/ML/17_knn_classification/knn_exercise.md
⭐️ Timestamps ⭐️
00:00 Theory
04:42 Coding
14:29 Exercise
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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.
