# snowch/movie-recommender-demo

<https://repo.masters-masters.com/en/repos/snowch/movie-recommender-demo>

[Home](https://repo.masters-masters.com/en) › [snowch](https://repo.masters-masters.com/en/owners/snowch) › [movie-recommender-demo](https://repo.masters-masters.com/en/repos/snowch/movie-recommender-demo)

snowch/movie-recommender-demo has 100 stars on GitHub. Its RepoMasters card: Prototype tier. This project walks through how you can create recommendations…

| Field | Value |
| --- | --- |
| Owner | [snowch](https://repo.masters-masters.com/en/owners/snowch) |
| Stars | 100 |
| Forks | 56 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2017 |
| Topics | cloudant, python-flask-application, spark, spark-streaming, hadoop, kafka, messagehub, dsx, notebook, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [snowch/movie-recommender-demo](https://github.com/snowch/movie-recommender-demo) |

## Repository

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 M…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.