MSc coursework implementations of classic machine learning algorithms: Ordinary Least Squares, Ridge Regression, Expectation Maximization, Full Bayesian Inference, Bayes Classifiers, kNN, and MLP core algorithms from scratch. Some auxiliary functions are also used.
expectation-maximization ols ridge-regression bayes-classifier multi-layer-perceptron machine-learning-from-scratch k-nearest-neighbors ordinary-least-squares implementation-from-scratch classical-machine-learning full-bayesian-inference classic-ml-scratch
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Updated
Jun 22, 2026 - Jupyter Notebook