Create K-Nearest Neighbor in Python from scratch Part -5: Making Predictions

In this exciting part- 5, we'll empower our KNN classifier with the ability to predict labels for unseen data!

Delve into the predict function, the heart of making predictions with KNN.
Explore how the function calculates distances between test points and training data. Learn how it identifies the k-nearest neighbors for each test point.

We'll walk you through the code for the predict function, line by line.
Understand how the function utilizes NumPy libraries for efficient calculations.

By the end of this video, you'll be able to:
Explain the process of making predictions with a KNN classifier. Grasp the core functionalities of the predict function for KNN.

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