u128str / Netflix-Movie-Recommendation-SystemLinks
A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
☆39Updated 6 years ago
Alternatives and similar repositories for Netflix-Movie-Recommendation-System
Users that are interested in Netflix-Movie-Recommendation-System are comparing it to the libraries listed below
Sorting:
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆202Updated last year
- Basic Movie Recommendation Web Application using user-item collaborative filtering.☆225Updated 3 years ago
- Recommendation System using ML and DL☆506Updated 2 years ago
- Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html☆249Updated 7 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆62Updated 5 years ago
- This repository contains the code for building movie recommendation engine.☆79Updated 7 years ago
- Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python☆57Updated 5 years ago
- 4 different recommendation engines for the MovieLens dataset.☆440Updated 6 years ago
- Hands-On Recommendation Systems with Python published by Packt☆264Updated 2 years ago
- Movie Recommender System with Django.☆78Updated last year
- Content based movie recommendation system with sentiment analysis☆95Updated 2 years ago
- Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Rec…☆137Updated 2 years ago
- A job recommendation system that recommends IT jobs to IT job seekers☆51Updated 4 years ago
- Applying Data Science and Machine Learning to Solve Real World Business Problems☆404Updated 5 years ago
- Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…☆96Updated 2 years ago
- A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…☆31Updated 7 years ago
- This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset☆65Updated 7 years ago
- From the Kindle Store Reviews on Amazon, sentiment analysis and book recommendation. Used Keras, FastText from Torch, and BERT. For recom…☆30Updated 5 years ago
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆43Updated 6 years ago
- My Graduate Capstone Project - This is a Product Recommendation System for a Local Wholesaler in India, using Python and Machine Learning…☆27Updated 4 years ago
- 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
- A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering☆17Updated 6 years ago
- Building Recommender Systems with Machine Learning and AI, published by Packt☆110Updated 2 weeks ago
- An introduction to recommendation systems in Python☆200Updated 4 years ago
- ☆124Updated 7 years ago
- Building Recommendation Systems with Python [Video], by Packt Publishing☆90Updated 2 years ago
- Machine Learning Project☆66Updated 4 years ago
- Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.☆47Updated 6 years ago
- Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build s…☆160Updated last year
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆153Updated 2 years ago