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

Tool for simplifying to perform experiments with collaborative filtering models

A hybrid movie recommendation system developed with data from The Movie Database (TMDb)

Sistema de Recomendacion de la plataforma Steam desarrollado

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. 🍿✨

泰迪在线实习备份

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

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.

Backbones for Ranking and RecSys tasks

Collaborative Filtering and Association Rule Mining App

Demos of various data science projects I completed - August 2023 to present. Mostly Module Assignments from MIT Course. Will add personal projects in the future here as well.

Popularity based, Content based recommender & Colaborative Filtering systems

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

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

Writing beginner-friendly Tailwind documents | Feel free to collaborate & contribute