KNN from Scratch in Python: A Step-by-Step Guide

K-Nearest Neighbors (KNN) From Scratch vs. Scikit-learn

In this video, we'll dive into the world of KNN by implementing it ourselves using Python's powerful NumPy library. We'll build the algorithm from the ground up, calculating distances, finding nearest neighbours, and making predictions.

But wait, there's more! We'll also compare our custom KNN implementation with the popular scikit-learn library. See how they stack up in terms of functionality and efficiency.

By the end of this video, you'll be able to:

Understand the KNN algorithm intuitively.
Implement KNN classification from scratch using Python and NumPy.
Calculate distances between data points.
Identify nearest neighbors for new data.
Make predictions using KNN.
Compare your custom KNN with scikit-learn's implementation.

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