abhilampard / Movie_Recommendation_Engine

Related projects ⓘ

Alternatives and complementary repositories for Movie_Recommendation_Engine

• jyu-theartofml / Collaborative_filtering
  Recommendation system for music.
  ☆14Updated last year
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆75Updated 8 years ago
• veeralakrishna / Case-Study-ML-Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆24Updated 2 months ago
• rakshita95 / Book-Recommendation-System
  Personalized book recommender system to generate top 5 recommendations to users
  ☆24Updated 7 years ago
• harshraj11584 / Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix
  [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky
  ☆27Updated 5 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.
  ☆35Updated 5 years ago
• Shreyas3108 / movielens-analytics-recomendation
  Analytics of Movielens dataset (100k) along with recomendation based on the user preference
  ☆13Updated 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 7 years ago
• akshaybhatia10 / Deep-Learning-Mini-Projects
  Repo for Deep Learning Projects in NLP, GANs, Computer Vision
  ☆19Updated 6 years ago
• floydhub / sentiment-analysis-template
  Build a deep learning model for sentiment analysis of IMDB reviews
  ☆25Updated 6 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.
  ☆46Updated 5 years ago
• jaypatel00174 / Movie-Recommendation
  Basic of Recommendation Models
  ☆17Updated 6 years ago
• TaihuaLi / Movielens-Recommender
  Course project for Programing Machine Learnings Applications class
  ☆12Updated 8 years ago
• csaluja / JupyterNotebooks-Medium
  ☆124Updated 6 years ago
• adinoriya / Python-Machine-Learning
  This repository basically covers Python implementation of different machine learning algorithms like Linear Regression, Logistic regressi…
  ☆22Updated 8 years ago
• nnimish19 / hybrid-recommender-system
  uses collaborative and content based filtering techniques
  ☆14Updated 8 years ago
• sukeshsangam / Deep-Learning-Model-for-Hybrid-Recommendation-Engine
  A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…
  ☆29Updated 6 years ago
• anirudhpillai16 / Time-Series-Analysis
  This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya
  ☆22Updated 6 years ago
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆34Updated 6 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆19Updated 8 years ago
• danirisdiandita / lightfm_recommendation
  tutorial about recommendation system
  ☆15Updated 5 years ago
• saurabhmathur96 / movie-recommendations
  Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference
  ☆18Updated 5 years ago
• harshitahluwalia7895 / Loan_Prediction
  ☆21Updated 6 years ago
• Nikhil22 / netflix-style-recommender
  A simple movie recommendation engine
  ☆73Updated 3 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• vjvishaljha / Recommender_Sys
  A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
  ☆17Updated 5 years ago
• alexvlis / movie-recommendation-system
  Movie Recommendation System using the MovieLens dataset
  ☆19Updated 6 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.
  ☆45Updated 6 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
  ☆60Updated 4 years ago