How K Nearest Neighbors Classifier Algorithm works | KNN Algorithm Using Python | NerdML
This KNN Algorithm tutorial (K Nearest Neighbor Classification Algorithm tutorial) will help you understand what is KNN, why do we need KNN, how do we choose the factor 'K', when do we use KNN, how does KNN algorithm work and you will also see a use case demo showing how to predict whether a person will have diabetes or not using KNN algorithm. This video is a part of the Machine Learning with Python Series.
This video will help you to understand K-Nearest Neighbors Classifier, Euclidean & Hamming distance, KNN used as Regression & Classification model, mathematical solution for KNN Classification problem on real world dataset & restriction of KNN algorithm.
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Please find the previous Video link - Naïve Bayes Classifier, Clearly Explained!!! - Fun and Easy Machine Learning | NerdML : • Naïve Bayes Classifier, Clearly Explained!...
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Prerequisites
Basic understanding of Linear Algebra, Probability, Calculus, Matrix & Python programming including pandas, numpy, scikit learn & some visualization tools.
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Creator : Rahul Saini
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