Alternatives and similar repositories for JupyterNotebooks-Medium

Users that are interested in JupyterNotebooks-Medium are comparing it to the libraries listed below

• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆264Updated 2 years ago
• mandeep147 / Amazon-Product-Recommender-System
  Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
  ☆248Updated 7 years ago
• khanhnamle1994 / movielens
  4 different recommendation engines for the MovieLens dataset.
  ☆440Updated 6 years ago
• nikitaa30 / Recommender-Systems
  Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
  ☆56Updated 5 years ago
• rounakbanik / movies
  Second Springboard Capstone Project: A Movie Recommender
  ☆86Updated 7 years ago
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆73Updated 8 years ago
• emmagrimaldi / Content_based_movie_recommender
  ☆64Updated 5 years ago
• dvysardana / RecommenderSystems_PyData_2016
  ☆179Updated 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
• huangy22 / NewsRecommender
  A news recommendation system tailored for user communities
  ☆206Updated 8 years ago
• nikitaa30 / Content-based-Recommender-System
  It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
  ☆71Updated 4 years ago
• TaihuaLi / Movielens-Recommender
  Course project for Programing Machine Learnings Applications class
  ☆12Updated 9 years ago
• prateekjoshi565 / recommendation_system
  ☆63Updated 3 years ago
• Nikhil22 / netflix-style-recommender
  A simple movie recommendation engine
  ☆75Updated 3 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆143Updated 5 years ago
• Apress / machine-learning-with-pyspark
  Source Code for 'Machine Learning with PySpark' by Pramod Singh
  ☆115Updated 6 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆299Updated 7 years ago
• nxs5899 / Recommender-System-LightFM
  scalable Recommeder System for e-commerece using LightFM package in python
  ☆47Updated 6 years ago
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆193Updated 5 years ago
• revantkumar / Collaborative-Filtering
  Implemented Item, User and Hybrid based Collaborative Filtering
  ☆159Updated 9 years ago
• vaslnk / Spotify-Song-Recommendation-ML
  UC Berkeley team's submission for RecSys Challenge 2018
  ☆88Updated 7 years ago
• SudalaiRajkumar / Kaggle
  Codes for Kaggle Competitions
  ☆515Updated 7 years ago
• amitkaps / recommendation
  Recommendation System using ML and DL
  ☆504Updated 2 years ago
• srp98 / Movie-Recommender-using-RBM
  A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
  ☆33Updated 7 years ago
• patilankita79 / Location-based-Restaurants-Recommendation-System
  Big Data Management and Analysis Final Project
  ☆70Updated 7 years ago
• PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
  Building Recommender Systems with Machine Learning and AI, published by Packt
  ☆109Updated 2 years ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆90Updated 2 years ago
• mnguyenngo / flask-rest-setup
  Notes on Flask REST API and tutorial
  ☆148Updated 6 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 6 years ago