In this video, we dive deep into the K-Nearest Neighbors (KNN) algorithm, one of the simplest yet powerful machine learning techniques. We'll cover:
What KNN is and how it works
Step-by-step implementation using Python
Data preprocessing and normalization
Choosing the optimal number of neighbors (K)
Model evaluation and performance metrics
Making predictions with new data
Whether you're a beginner or looking to brush up on your machine learning skills, this tutorial has you covered. Follow along with the code examples and start implementing KNN in your projects today!
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