Repository to work on clustering exercises using machine learning

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

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

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

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

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

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

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

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

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.

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.

Regression, classification, clustering and recommender systems models.

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

Creation an Information Retrieval Service with ElasticSearch

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.

A Python package for unsupervised mixed datatypes clustering

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

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…

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.