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In thi video you will learn below topics K Nearest Neighbors Algorithm Diabetes classification using KNN model 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 Use case Introduction 01:55 Import libraries 02:32 EDA 06:09 Handling missing values 12:08 Visualization using seaborn and matplotlib 19:25 Data imputation 39:20 Normalization 45:44 KNN Model Building 49:18 KNN Model Evlauation 52:20 Prediction KNN Algorithm • KNN Algorithm in tamil Part1 | what i... Data Leakage • Data Leakage in machine learning in t... Normalization • feature scaling in tamil | how to do ... 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