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

Implementation of the Bayesian, MAP and LDA classifiers.

A Presentation on Naive Bayesian Classifiers + a simple example

Implementation of various Data Mining Algorithms in Java

Statistical Learning in R

Лабораторные работы по предмету "Системы и методы принятия решений"

Master of AI in unibo(Bayesian mini project)

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

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.

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

Implementation of Machine Learning Algorithms

Pragmatic & Practical Bayesian Sentiment Classifier

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..

Collection of commonly used RDP Tools for easy building