Easy-to-use collection of statistical methods and techniques, all written in R 🗂

Task1 - data analysis & classification with multivariate Gaussian classifiers

A Multivariate Gaussian Bayes classifier written using JAX

This project implements probabilistic machine learning methods, including Bayesian classification, Gaussian discriminant models, and dropout in neural networks. It explores softmax regression, log-likelihood optimization, and performance evaluation using accuracy, ROC curves, and confusion matrices.