GitHub - luciano-s/KNN: Implementation of KNN -> K-nearest neighbor's algorithm

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Implementation of KNN -> K-nearest neighbor's algorithm

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
MNIST		MNIST
src		src
README		README

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This is a first approach to the K-nearest neighbors algorithms. The KNN is a simple algorithm but powerfull. A subset of the MNIST dataset is used (8500 images). This dataset was provided by UC San Diego X machine learning course, on edX. My goal is to learn how a machine learning algorithm works in it's essence, without an API to help me (but at the same time hide me) on that task.

External libraries required: numpy and matplotlib