Neocryan / Amazon-Fine-Food-RecommendationLinks
A Recommendation system based on a kaggle data set
☆21Updated 8 years ago
Alternatives and similar repositories for Amazon-Fine-Food-Recommendation
Users that are interested in Amazon-Fine-Food-Recommendation are comparing it to the libraries listed below
Sorting:
- Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html☆252Updated 8 years ago
- Basic Movie Recommendation Web Application using user-item collaborative filtering.☆223Updated 3 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
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆39Updated 7 years ago
- ☆123Updated 7 years ago
- manojahi / Project-Search-A-Recommendation-system-for-Youtube-video-and-Amazon-Product-based-on-user-commentsProject Search is a Recommendation system for Youtube videos and Amazon products.☆12Updated 8 years ago
- 4 different recommendation engines for the MovieLens dataset.☆448Updated 6 years ago
- Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python☆58Updated 6 years ago
- A job recommendation system that recommends IT jobs to IT job seekers☆49Updated 5 years ago
- Movie Recommender System with Django.☆80Updated last year
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆63Updated 5 years ago
- Recommendation System, Collaborative Filtering, Spark, Hive, Flask, Web Crawler, AWS EC2, AWS RDS☆36Updated 8 years ago
- It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset☆72Updated 5 years ago
- Recommendation System using ML and DL☆520Updated 3 years ago
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆212Updated last year
- Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.☆48Updated 6 years ago
- This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix…☆18Updated 5 years ago
- Hands-On Recommendation Systems with Python published by Packt☆272Updated 3 years ago
- Build a Book Recommendation System using Goodreads data (10k books)☆13Updated 2 years ago
- This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebook…☆100Updated 2 years ago
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆43Updated 7 years ago
- This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset☆64Updated 7 years ago
- A simple movie recommendation engine☆76Updated 4 years ago
- Recommending companies to students based on companies requirements and students skills☆24Updated 7 years ago
- This repository contains the code for building movie recommendation engine.☆79Updated 7 years ago
- Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakban…☆18Updated 7 years ago
- This is a course recommendation system that generates recommendation based on the study patterns and cognitive level of the students. The…☆32Updated 5 years ago
- A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering☆17Updated 7 years ago
- Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amaz…☆39Updated 6 years ago
- Book recommender system using collaborative filtering based on Spark☆393Updated 8 years ago