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

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

泰迪在线实习备份

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.

Tool for simplifying to perform experiments with collaborative filtering models

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

3 of the simplest recomendation system. Colaborative filter, content filter and hybrid filters

Popularity based, Content based recommender & Colaborative Filtering systems

Backbones for Ranking and RecSys tasks

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.

To develop a Book Recommender System using collaborative filtering with k-NN using a dataset with 278,858 users and 1,149,780 book ratings.

Recommendation system using collaborative filtering applied on e-commerce websites

A Collaborative Filtering Implementation in Rust

Recommendation System repository