27. Master KNN Classifier in Python with 95% Accuracy + Confusion Matrix 📊

Learn how to implement the K-Nearest Neighbors (KNN) classifier in Python with a practical step-by-step tutorial. Achieve up to 95% accuracy and understand the confusion matrix to evaluate your model effectively.

Data Science Diaries793 views18:50

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This videos tutorials helps to understand practical implementation of KNN Classifier implementation using python In this video we have discussed about - KNN classifier model accuracy confusion matrix #KNNAlgorithmInMachineLearning #KNNAlgorithm #KNN #KNearestNeighbor #KNNMachineLearning #KNNAlgorithmPython #KNearestNegighborMachineLearning #MachineLearningAlgorithm #MachineLearning Parent GIT repository for all the ML Youtube videos - https://github.com/MandeepKharb/Youtube Git location for the python notebook of this video - https://github.com/MandeepKharb/Youtube/blob/main/ML/K_Nearest%20_Neighbours.ipynb Complete ML Playlist - https://youtube.com/playlist?list=PLfFqtQvlXuWkUrMK0mjNrdPvgqvW20_L5 #knn #classification #unsupervised #absoulte #beginners #python #withexample #ai #ml #datascience

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Published
Mar 1, 2022

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