Скачать или смотреть K Nearest Neighbors (KNN) classification: Intuition and Practical Implementation

In this video, we will talk about the widely used machine learning classification technique called K-nearest neighbors (KNN).
Our focus will be primarily on how does the algorithm work and how does the input parameters, outliers and imbalanced dataset affects the output/prediction.

We will also be discussing the practical implementation of KNN using Python and sklearn

KNN can be used for both classification and regression predictive problems. However, it is more widely used in classification problems in the industry.

GitHub: https://github.com/balajisrinivas/ML-...
Kaggle Dataset: https://www.kaggle.com/mustafaali96/w...
LinkedIn:   / balaji2512  

#KNN #MachineLearning #Classification

Introduction: (0:00)
Intuition: (0:31)
Implementation: (9:16)