K-Nearest Neighbor Algorithm With Python Implementation

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In this tutorial we are going to learn about the theory of K-NN Machine Learning Algorithm and Implement the theory with Python Programming Language.

This iTech combo video on KNN Algorithm will help you to build your base by covering the theoretical, mathematical and implementation part of the KNN algorithm in Python. Topics covered under this video includes:

1. What is KNN Algorithm?
2. Industrial Use case of KNN Algorithm
3. How things are predicted using KNN Algorithm
4. How to choose the value of K?
5. KNN Algorithm Using Python
6. Implementation of KNN Algorithm from scratch

Why learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

Credit: Andrew Nagi, Killian Weinberger, Sentdex

#KNearestNeighbor #CustomProgrammed #MachineLearning

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