snowch / movie-recommender-demoLinks
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to…
☆98Updated 2 years ago
Alternatives and similar repositories for movie-recommender-demo
Users that are interested in movie-recommender-demo are comparing it to the libraries listed below
Sorting:
- Building Recommendation Systems with Python [Video], by Packt Publishing☆90Updated 2 years ago
- PySpark Code for Hands-on Learners☆116Updated 5 years ago
- Big Data Management and Analysis Final Project☆72Updated 7 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 8 years ago
- Recommendation System, Collaborative Filtering, Spark, Hive, Flask, Web Crawler, AWS EC2, AWS RDS☆36Updated 8 years ago
- Recommender System Repo☆33Updated 6 years ago
- This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset☆64Updated 7 years ago
- Getting start with PySpark and MLlib☆300Updated 7 years ago
- Personal project where I perform some analytics (including Sentiment Analysis) over a Twitter Stream using Big Data Technologies of the H…☆21Updated 2 years ago
- Create scalable machine learning applications to power a modern data-driven business using Spark☆61Updated 2 years ago
- PySpark Cookbook, published by Packt☆93Updated 2 years ago
- Repo for all my code on the articles I post on medium☆107Updated 3 years ago
- Realtime social media data analytics with Apache Spark, Python, Kafka, Pandas, etc☆51Updated 9 years ago
- Sample data science projects (machine learning, optimization, business intelligence)☆28Updated 7 years ago
- ☆18Updated 7 years ago
- A simple movie recommendation engine☆76Updated 3 years ago
- Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University☆161Updated last week
- ☆63Updated 3 years ago
- A collection of Medium posts☆55Updated 7 years ago
- Building Recommender Systems with Machine Learning and AI, published by Packt☆110Updated last month
- Hands-On Recommendation Systems with Python published by Packt☆268Updated 2 years ago
- The demo of using Kafka, Spark, Hive, Cassandra, etc by using Docker. It produces the production ready environment for any kinds of big d…☆37Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆78Updated 5 years ago
- Insurance fraud claims analysis project☆54Updated last year
- Recommending companies to students based on companies requirements and students skills☆27Updated 7 years ago
- ☆151Updated 7 years ago
- Algorithms and Codes for my machine learning blog☆30Updated last year
- Real time stock data pipeline --play with Kafka, Cassandra, Spark, Redis, Node.js, Zookeeper☆81Updated 8 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
- 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