05. K-Nearest Neighbor(KNN) Algorithm Using Scikit-learn | Machine Learning With Scikit-Learn
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#scikitlearn #sklearn
#scikitlearn #sklearn #machinelearning #python #codersarts #ml #python #datascience #mltutorial #mlalgorithms #knn
In this video we discuss the KNN algorithm and how it is implemented using the Scikit-learn library. We also discuss the importance of pre-processing and implementing Min-Max Normalization and compare the accuracy for the KNN algorithm.
Chapters:
00:00:00 Getting Started with K-Nearest Neighbor(KNN) Algorithm
00:01:00 KNN Introduction
00:08:32 KNN - Code
00:12:04 Training the Model without pre-processing
00:18:00 Training the Model after pre-processing
00:23:25 Advantages and Disadvantages
Get ahead in your machine learning coursework with the help of CodersArts. Our team of experts will guide you through the process of understanding and implementing the K-Nearest Neighbor (KNN) algorithm using the Scikit-learn library. Get hands-on experience working with this powerful technique and take your skills to the next level with our support and assistance.
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2 سال پیش
در تاریخ 1401/10/09 منتشر شده
است.
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