Alternatives and similar repositories for Movie_Recommendation_Engine

Users that are interested in Movie_Recommendation_Engine are comparing it to the libraries listed below

• csaluja / JupyterNotebooks-Medium
  ☆123Updated 7 years ago
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆73Updated 9 years ago
• Chinmayrane16 / Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
  Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
  ☆62Updated 5 years ago
• dvysardana / RecommenderSystems_PyData_2016
  ☆179Updated 9 years ago
• jyu-theartofml / Collaborative_filtering
  Recommendation system for music.
  ☆15Updated 2 years ago
• Preetikasri / Anime-Recommendation-Engine
  creating a recommendation engine for anime based on model based collaborative filtering
  ☆32Updated 7 years ago
• danielmachinelearning / SentimentAnalysis_CNN_RNN
  An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…
  ☆23Updated 8 years ago
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆34Updated 7 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 8 years ago
• MaviccPRP / svm
  Tutorial: Support Vector Machine from scratch using Python3
  ☆37Updated 8 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆49Updated 7 years ago
• vaslnk / Spotify-Song-Recommendation-ML
  UC Berkeley team's submission for RecSys Challenge 2018
  ☆87Updated 7 years ago
• markjay4k / Fashion-MNIST-with-Keras
  A series of Jupyter Notebooks which build a simple CNN model which is trained using the Fashion MNIST dataset
  ☆37Updated 7 years ago
• moorissa / medium
  A collection of Medium posts
  ☆55Updated 7 years ago
• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆272Updated 2 years ago
• mandeep147 / Amazon-Product-Recommender-System
  Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
  ☆251Updated 8 years ago
• sachanganesh / student-performance-prediction
  predicting student academic performance
  ☆86Updated 6 years ago
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆58Updated 9 years ago
• ernest-kiwele / chicago-crime-analysis-apache-spark
  Using Apache Spark SQL, Spark ML, Pandas to analyse and predict using the Chicago crime dataset
  ☆10Updated 7 years ago
• mubaris / friendly-fortnight
  K-Means Clustering using Python from Scratch
  ☆130Updated 8 years ago
• u128str / Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆39Updated 7 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 3 years ago
• tthustla / twitter_sentiment_analysis_part1
  data preparation
  ☆90Updated 7 years ago
• CristiVlad25 / ml-sklearn
  Tutorials on Machine Learning with Scikit-Learn
  ☆83Updated 5 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 8 years ago
• Shreyas3108 / movielens-analytics-recomendation
  Analytics of Movielens dataset (100k) along with recomendation based on the user preference
  ☆13Updated 8 years ago
• karthikmswamy / RecSys
  Builds a recommender system using TensorFlow
  ☆86Updated 8 years ago
• ashishrana160796 / online-course-recommendation-system
  Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
  ☆48Updated 6 years ago
• artem-oppermann / Deep-Autoencoders-For-Collaborative-Filtering
  Using Deep Autoencoders for predictions of movie ratings.
  ☆113Updated 2 years ago
• harshraj11584 / Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix
  [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
  ☆30Updated 6 years ago