This website applies a recommendation system and continuous learning.

Introducción al Aprendizaje No Supervisado en Español

Recommending movies to user using various Colaborative Filtering and Content Based Filtering.

Research about Massive Data Processing Techniques in Data Science

Recommender System Project This repository contains the implementation of various recommender system algorithms, including KNN, SVM, Decision Tree, and Matrix Factorization. The primary focus is on Matrix Factorization to provide personalized movie recommendations using the MovieLens dataset.

This Repo contains The Implementation of Content-Based Recommended System and Collaborative Filtering Recommended System for movies dataset in python.

✨🎬 Explore seu Próximo Filme Favorito! Um sistema de recomendação colaborativa que personaliza sua experiência de entretenimento. 🍿✨

The is a course project, a within-class kaggle competition targeting to recommend the courses to the potential buyer.

Sistema de Recomendacion de la plataforma Steam desarrollado

Tool for simplifying to perform experiments with collaborative filtering models

泰迪在线实习备份

Recommendation system using collaborative filtering applied on e-commerce websites

A new approach in designing and developing a collaborative-interactive movie recommender system based on user ratings

Recommendation Systems project from ML and BD Master Degree from UPM. Collaborative and content-based filtering competitions.

Backbones for Ranking and RecSys tasks

Popularity based, Content based recommender & Colaborative Filtering systems

Bitcoin Core + StatsD integration Google Colab

Collaborative Filtering and Association Rule Mining App

Sore - Spotify Recomendation