推荐算法个人学习笔记以及代码实战
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Updated
Aug 8, 2019 - Python
推荐算法个人学习笔记以及代码实战
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
Farfetch: Understanding the customer
Implicit Event Based Recommendation Engine for Ecommerce
An Analogous experiment to Netflix Challenege on Amazon DataSet for three popular and efficient approaches
Machine Learning Music Recommendation System: Hybrid Approach (Content & SVD) with Flask
This is a learning repository about Databricks and Recommendation Systems
Pytorch recommendation system of possible known technologies for a people with specified tech stack. Utilizing hyperopt for hyper parameter tuning to find the best performing model.
Collaborative Filtering based movie recommendation that uses matrix factorization to generate rating predictions for user-movie,
A generalizable collaborative filtering approach for recommending new procedures to patients and their caregivers.
Movie recommendation system using surprise machine learning and modular python code.
MovieLens recommended system project
Sistema de recomendación de películas basado en Collaborative Filtering usando el dataset MovieLens 100K. Incluye modelo de Machine Learning (KNN), evaluación de métricas (RMSE) e interfaz interactiva con Streamlit
Hands-on Movie Recommender in Python using MovieLens dataset.
Study of the Diversification of Recommender Systems
A simple, full-stack machine learning project that builds a product recommendation system using real e-commerce event data.
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