This repository consists of 6 sections, detailing hands on Machine Learning Models: Regression, Classification, Clustering, AssocaitionRuleLearning, Deep Learning and Natural Language Processing Techniques

Using kmeans clustering in sklearn model to test a 2-dimension matrix,

coding problems from course 5 of the Bioinformatics specialization

Projects for university that tackle supervised and unsupervised learning

KIV/PRO code for semestral thesis 2

In this project, we will first firstly implement RFM Analysis to group customers according to RFM metrics and then the same customers will be segmented by using K-Means and Hierarchical Clustering algortihms.

Este es un proyecto de Data Science en el que aplicaremos: EDA + Métodos de Clustering

AUCC (Python Implementation)

How to draw Dendrogram in clustering analysis

In this project, we will first firstly implement RFM Analysis to group customers according to RFM metrics and then the same customers will be segmented by using K-Means and Hierarchical Clustering algortihms.

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

It contains mini-projects as part of Spatial and Temporal Data mining Spring 2018 class.

This is the repo containing code and other resources for the paper entitled "Exploiting Geographical Data to improve Recommender Systems for Business Opportunities in Urban Areas" and published at BRACIS 2019.

Creation an Information Retrieval Service with ElasticSearch

The thesis presents the parallelisation of a state-of-the art clustering algorithm, FISHDBC. This objective has been achived by improving the main data structures and components of the algorithm: HNSW, MST and HDBSCAN. My contribution is based on a lock-free strategy, completely wrote in Python.

Game-theoretic clusterization algorithm