Movie Recommendation Engine
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Updated
Dec 17, 2017 - JavaScript
Movie Recommendation Engine
android movie recommendations app
A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
Contains assignments, moocs, challenges, from recommendation engines, to deep learning
A lightweight recommendation engine for Ruby apps using Redis
Recommender system for food pairing
An anime recommendation engine powered by a pairwise similarity backend framework.
Using dataset from https://grouplens.org/datasets/movielens/ to build a recommendation system by KNN
EDA on a music dataset, followed by building a recommendation engine to be able to recommend songs given a set of songs.
This repository contain both Collaborative based movie recommendation system as well as Content based movie recommendation system
Implicit Collaborative Filtering based Recommendation Engine Implementation using LightFM along with REST API using django-restframework
FlaskFlow: Agile MLOps for Performance Recommendation Pipeline
Study for Recommendation engine
Use the graph features in SQL Server 2017 to perform market basket analysis and provide product recommendations for your users.
You can find my technical documents over here...
Budget Text Analysis for Seven Counties
Using XGboost to predict accommodation listing prices
Web-app and jupyter notebook, fully documented for Capstone of Udacity data science ND. Uses FunkSVD/handwritten gradient descent algorithm plus chi sq to determine recommendations for users based on demographic
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