A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
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Updated
Sep 21, 2017 - HTML
A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
This is a Recommend System Project
Model-based recommendation systems involve building a model based on the dataset of ratings. This approach potentially offers the benefits of both speed and scalability. [Source: http://www.cs.carleton.edu/cs_comps/0607/recommend/recommender/modelbased.html]
A package for classic deep learning recommending algorithms implemented with TF2.6. Currently a personal project for learning purposes.
Full stack machine learning music recommendation app using ALS collaborative filtering, built using Flask and PySpark
2021년 경상북도 데이터 경진대회 | 추천 알고리즘을 이용한 맞춤형 식품 추천 서비스
simple recommender system using collaborative filter for movie data
The project of Cogito with Infor
Código-fonte desenvolvido para implementação da parte prática referente dissertação apresentada como requisito parcial para a obtenção do grau de Mestre em Ciência da Computação.
A recommendation system, complete with UI built using Java in IntelliJ IDEA
Recommender system for on-chain social network, near.org
Python Recommender Lab
in this section will be item based recommender on movies and ratings dataset
Exploration and Implementation of recommendation methodologies.
DeepLearning For Recsys
Projects for Social Gaming course in Technical University of Munich
In this repository I'll be working on various recommendation engine algorithms
Recommender system with Netflix database using matrix factorization
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