<ul><li>K-Nearest Neighbors (KNN) is a foundational algorithm used in recommendation systems, anomaly detection, and image recognition.</li><li>It is a lazy learner algorithm that memorizes training data and generalizes during inference by inheriting the most common class among its closest neighbors.</li><li>Building KNN from scratch using NumPy and Python's standard library allows for a deeper understanding and customization of the algorithm for various domains.</li><li>KNN is interpretable, adaptable, and beneficial for early-stage experimentation in fields such as customer segmentation and predictive maintenance.</li></ul>

Can You Trust Your Neighbors? Building KNN from Scratch

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