Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Pragmatic & Practical Bayesian Sentiment Classifier

Collection of commonly used RDP Tools for easy building

Implementation of Machine Learning Algorithms

Лабораторные работы по предмету "Системы и методы принятия решений"

TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)

This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.

An example of Bayesian classification to determining the optimal decision boundary to do predictions.

Jupyter Notebook featuring hands-on exercises centered around Bayesian networks and Bayesian classifiers.

A Presentation on Naive Bayesian Classifiers + a simple example

Exploration of dataset https://archive.ics.uci.edu/ml/datasets/SUSY

Implementation of the Bayesian, MAP and LDA classifiers.

Machine Learning coursework from IST's Aprendizagem 2025/26. Covers decision trees, Bayesian classifiers, k-NN, linear/ridge regression, MLPs with backpropagation, k-means clustering, PCA, and LDA. Includes theoretical exercises and Python implementations using scikit-learn.

Programming assignments completed for course CSE - 5334 Data Mining under Professor Dr. Marnim Galib.

Implementation of various Data Mining Algorithms in Java

Statistical Learning in R