Unsupervised clustering of a retail store's customer database to perform Customer Segmentation and Profiling.

The AntibodyCluster repository contains scripts designed to extract sequences of amino acid chains from antibodies present in Protein Data Bank (PDB) format files. The scripts employ the SAbDab database for file processing.

This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

A comparison on different clustering algorithms using different datasets with performance measurements is shown here.

UIImageColorPalette is a versatile utility for extracting the prominent colors from images in iOS. It efficiently identifies and provides the three most prevalent colors in a UIImage.

Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)

Neural Nets and Deep Learning concepts and implementations applied to real-life data.

This project uses Machine Learning prediction methods such as Random Forest, Boosting and Neural Network. Plus, clustering analysis is carried out for more precise marketing strategy for each cluster.

Clustering project for assessment of Unsupervised Learning lecture (Jacek Lewkowicz)

An Implementation of fuzzy clustering algorithms in Numpy

Here i have used mall customers data to implement KMeans, Hierarchal and DBScan clustering algorithms

This repository contains a variety of algorithms designed for graph clustering problems.

Учебные листы по 'Стохастическому анализу и его приложениях в машинном обучении'

An Engine for Dynamic Enhancement and Noise Overcoming in Spatiotemporal Multimodal Neural Observations via High-density Microelectrode Arrays

Visual analytics tool for collaborative multiVR environment.

Master's Project - Clustering Problem

Machine learning example code in topics such classification, clustering and recommender systems in different techniques and approaches.

This repository provides classic clustering algorithms and various internal cluster quality validation metrics and also visualization capabilities to analyse the clustering results

Houses projects that implements Machine learning and Data science concepts