zotroneneis/machine_learning_basics

Plain python implementations of basic machine learning algorithms

Jupyter Notebookpythonmachine-learningalgorithmneural-networklinear-regressionmachine-learning-algorithmspython3ipynbneural-networkslogistic-regressionperceptronkmeansk-nearest-neighboursk-nnk-nearest-neighborpython-implementations
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Machine learning basics This repository contains implementations of basic machine learning algorithms in plain Python (Python Version 3.6+). All algorithms are implemented from scratch without using additional machine learning libraries. The intention of these notebooks is to provide a basic understanding of the algorithms and their underlying structure, not to provide the most efficient implementations. Bayesian Linear Regression Decision tree for classification Decision tree for regression k-nearest-neighbor k-Means...
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