Implementing Clustering Algorithms from scratch in MATLAB and Python

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

A Python package for unsupervised mixed datatypes clustering

Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways. You can provide different value propositions to different customer groups. Customer segments are usually determined on similarities, such as personal characteristics, preferences or behaviours that should correlate with the same behaviours that drive customer profitability.

Installation and implementation guidelines of ICOT, a Julia-based interpretable clustering algorithm.

Creation an Information Retrieval Service with ElasticSearch

The PyTorch implementation of the additional temporal modeling on the DeepEmoCluster framework

Data Modelling on 2018 US midterm Election Data and US Demographic Data. Creating regression, classification and clustering models.

A comprehensive collection of data science and machine learning projects, tutorials, and real-world applications.Projects involving data science conceptss

Segmentation des clients d'un site e-commerce (OpenClassrooms | Data Scientist | Projet 5)

Clustering methods implementations in C++: Lloyd, K-Means, K-Means++, PAM

Regression, classification, clustering and recommender systems models.

Technical Analysis (TA) investigation with Python. Moving averages included as well as outlier detection using signal processing and smoothing. Included as well is market characteristic detection with hurst exponent analysis.

Breathe in the data! This project uses machine learning to uncover how Barcelona’s air, lifestyle, and green spaces shape the city’s mental health. By finding hidden patterns between pollution and stress, it sheds light on what makes urban life healthier, happier, and more human.

This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor Developing or Rich. The results are visualized on an interactive world map, allowing you to explore global clustering patterns.

the DeepMI curriculum metric is for SER tasks, which extracted by a pretrained semi-supervised DeepEmoCluster model

A comprehensive set of programs demonstrating machine learning techniques have been made.

Repository to work on clustering exercises using machine learning

Testing among various Machine Learning models and parameters, in order to further study their behaviour for Classification, Regression and Clustering analysis.

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A curated repository of machine learning projects performing predictions, time-series forecasting.

How does user aggregate purchasing history and hotel prices affect number of nights stay at hotel over the weekend? Interested in the relationship between hotel price and search criteria of customers.

Exercises from a university course on Introduction to Data Science, developed in Python and based on the scikit-learn library.

Segment Sphere is a customer segmentation tool using RFM analysis to group customers based on recency, frequency, and monetary value. It processes e-commerce data, provides actionable insights, and visualizes results with interactive charts. Ideal for understanding customer behaviour and supporting data-driven decisions.

This repository consists of the code files of th ML algorithms which I have implemented during the machine learning course.

Repo for the "Identifying Weather Patterns using Azure ML and Clustering" hands-on lab.

Final Project for Edvai´s Data Science & MLOps Bootcamp

House Price Prediction, Heart Disease Detection and Customer Segmentation with Python