K Nearest Neighbor (KNN) in 15 Minutes in Urdu Hindi | Machine Learning Basics Solved with Example

In this short video, we will cover the intuition behind the K-Nearest Neighbors classifiers  and will solve an example for your Exams preparation

So what are #K-nearest Neighbors classifiers?

#K-nearest neighbor algorithm (KNN) is a classification algorithm that works by finding the most similar data points in the training data, and attempt to make an educated guess based on their classifications.

After completing this tutorial, students will be able to:
o Understand the theory behind K-nearest neighbor classifiers
o Calculate the Euclidean distance between 2 points in the training data-set
o Understand the impact of changing the K parameter on model accuracy
and Pass the Exam Question :)