netflix-prize
There are 3 repositories under netflix-prize topic.
netflix-hezu / netflix-hezu.github.io
Netflix奈飞合租网站推荐，整理Netflix账号类型、合租价格、最新优惠等发车信息，提供Youtube、Spotify、Disney+等流媒体账号的解锁服务，比较可靠的合租平台有：1.蜜糖商店MetShop · 2.奈飞小铺 · 3.奈飞小镇 · 4.奈飞Pro · 5.爱合租 · 6.Netflixstation
Language:HTML 115- Movie-Recommendation-Netflix
storieswithsiva / Movie-Recommendation-Netflix
🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧
Language:Jupyter Notebook 51 harshraj11584 / Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix
[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
Language:Jupyter Notebook 26akaanuzman / netflix_clone
Flutter Responsive Netflix Clone UI Application 🔥
Language:Dart 7ztizzlegaming / movie-recommendation-system
Movie recommendation system implemented in C++ and trained/evaluated on Netflix Prize dataset.
Language:C++ 5michael-halim / big-data-netflix
🎥👨🔬 Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods
Language:Jupyter Notebook 3andreamanzini / RecommendationSystem
Machine Learning homework project at EPFL
Language:TeX 2mohamedmansoura / Recommender-system-with-Netflix-database
Recommender system with Netflix database using matrix factorization
Language:Jupyter Notebook 2SOF3 / stat4609-project
STAT4609 project, in collaboration with @jevrii and @kellycyy. Git commit authors do not necessarily represent the actual author.
Language:Jupyter Notebook 2arhcoder / Netflix-Recommendation
📺 Content Recommendation System for the Netflix Prize Challenge with Collaborative Filtering.
Language:Jupyter Notebook 1miftahulridwan / Temporal-Performance-Evaluation-CF-algorithms
Temporal performance evaluation of Collaborative Filtering Algorithms on Netflix Prize dataset.
Language:Jupyter Notebook 1somjit101 / Netflix-Movie-Recommendation
A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.
Language:Jupyter Notebook 1hilarylim / Movie-Recommender
To recommend the next 10 movies to the user using the Prized Dataset provided by Netflix - over the span of 10 days for Capstone Project.
Language:Jupyter Notebook 0melipass / umayor-business-intelligence
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.
Language:Jupyter Notebook 0simranjeet97 / Netflix-Analysis-Top-Rated-_Visualization_Plotly
Netflix Data Analysis based on Age Based Ratings and Top Genres of 2021 of Movies - TV Shows along side Data Visualization
Language:Jupyter Notebook 0trgiangdo / fast_recsys
Accelerated Recommendation System on the rating prediction problem using Numba library.
Language:Python 0BobErgot / OTT-Movies-Insights-to-Recommendations
Analyze movie ratings and build a recommendation system using MapReduce. This project utilizes the Apriori algorithm, optimized for handling large datasets like the Netflix prize data, to provide personalized movie recommendations.
Language:Javasand-head / movie-recommendation-system
A recommendation system build using .NET Core for a class project.
Language:C#