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🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧

[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky

Flutter Responsive Netflix Clone UI Application 🔥

Movie recommendation system implemented in C++ and trained/evaluated on Netflix Prize dataset.

🎥👨‍🔬 Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods

STAT4609 project, in collaboration with @jevrii and @kellycyy. Git commit authors do not necessarily represent the actual author.

Recommender system with Netflix database using matrix factorization

Machine Learning homework project at EPFL

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.

Temporal performance evaluation of Collaborative Filtering Algorithms on Netflix Prize dataset.

📺 Content Recommendation System for the Netflix Prize Challenge with Collaborative Filtering.

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.

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.

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.

Netflix Data Analysis based on Age Based Ratings and Top Genres of 2021 of Movies - TV Shows along side Data Visualization

A recommendation system build using .NET Core for a class project.

Accelerated Recommendation System on the rating prediction problem using Numba library.