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KNN Algorithm in tamil Part1 | what is K Nearest Neighbors Algorithm | KNN classifier and Regressor

In thi video you will learn below topics K Nearest Neighbors Algorithm Neighbors-based classification is a type of instance-based learning or non-generalizing learning: it does not attempt to construct a general internal model, but simply stores instances of the training data. Classification is computed from a simple majority vote of the nearest neighbors of each point: a query point is assigned the data class which has the most representatives within the nearest neighbors of the point. 00:00 KNN Introduction 00:36 KNN Lazy Learner 01:26 KNN Classifier 03:26 KNN REgressor 05:06 KNN Non-Parametric Model 06:45 KNN Hyperparameter 08:06 classify the unknown data point using the KNN algorithm 08:39 KNN for classification Demo 19:41 How to chose K value in KNN 21:31 Low Value for K : Over Fit 22:31 High Value for K : Under Fit Github repo to download the notebook and dataset https://github.com/AjitAntony/knn Other series playlist: PANDAS    • Datascience pre-requisite - PANDAS fo...   LINEAR REGRESSION    • Linear regression in tamil தமிழ்   Machine Learning Concepts    • Machine Learning concepts in tamil தமிழ்   Python    • Python Tutorial - Python for Beginner...   knn,knn algorithm in machine learning,knn algorithm,what is knn algorithm,how knn algorithm works,machine learning training in tamil,ml in tamil,how to implement knn algorithm in python,machine learning in tamil,k-nearest neighbors algorithm,k-nearest neighbor algorithm versus k-means clustering in tamil,nearest neighbor algorithm,k nearest neighbors,k-nearest neighbor algorithm example python,euclidean distance in tamil,k-nearest neighbor classification algorithm #KNNAlgorithm #KNNAlgorithmintamil #KNearestNeighborsAlgorithm #KNNclassifier #KNNRegressor #mahcinelearning #machinelearningintamil #distancebasedmlmodel