Collection of Machine Learning algorithms implemented in Matlab/Python

Assignments Solution for Foundations of Machine Learning Course

Python in Data Science

Implementacja algorytmów klasteryzacji

Gaussian mixture model for clustering

Using several clustering algorithm to segment an insurance company customers

Extremely fast C implementation of the clustering Expectation Maximization (EM) algorithm for estimating Gaussian Mixture Models (GMM).

Generative models for creating synthetic data from Boston housing dataset

Clustering Clients for Insiders Loyalty Program.

Statistical Model (GMM) employed for Audio Classification

Pytorch implementation of Gaussian Mixture Variational Autoencoder GMVAE

Kmeans, Kmeans++, Gaussian Mixtures

In this project, I analyze a dataset containing annual spending spending data on diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with.

Machine Learning based Personal Voice Assisstant and text independent (Development phase)

A synchronous Kernels-only competition

Gaussian Mixture Error Estimation for Approximate Circuits

Gaussian Mixture Model implementation.

Python library to perform topic detection on textual data that are generated over time.

Implementation of the Automatic Recognition with VAS Index (pain index) with the aim of demonstrating the effectiveness of the Random Forest on the problem.

Building an anomaly detection model using Gaussian Mixture Model (GMM)