27. Master KNN Classifier in Python with 95% Accuracy + Confusion Matrix πŸ“Š

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.

27. Master KNN Classifier in Python with 95% Accuracy + Confusion Matrix πŸ“Š
Data Science Diaries
793 views β€’ Mar 1, 2022
27. Master KNN Classifier in Python with 95% Accuracy + Confusion Matrix πŸ“Š

About this video

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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Video Information

Views

793

Likes

27

Duration

18:50

Published

Mar 1, 2022

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