⭕️ Building Recommendation Engines

store my personal project

python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training

Pre-train Embedding in LightFM Recommender System Framework

This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP loss function on the movielens dataset

A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites

with Kaggle datasets

Learn Data Science with Python

Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.

Implicit Event Based Recommendation Engine for Ecommerce

A recommendation system that recommends artists to users.

WordPress Posts Recommend System based on Collaborative Filtering.

Sistema de Recomendacion de la plataforma Steam desarrollado

LightFm recommendation with pandas dataframe

Hybrid recommendation system using LightFM library and different loss functions on retail data.

Challenge recomendador - Campus Party Argentina 2021

Movie recommendation system

Common Machine Learning Examples 💻

Рекомендательные системы

This repository contains code I wrote in the Business Intelligence course at Universidad Mayor. The folders tarea-1x contain a small data modelling and data visualization exercise leveraging Oracle Cloud databases, while tarea-2 contains a movie recommender system based around the Netflix Prize dataset.