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Analyzed about 18 hours ago. based on code collected about 18 hours ago.

Project Summary

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 topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

Tags

als bluemix cloudant flask hadoop hive machine-learning redis spark

In a Nutshell, movie-recommender-demo...

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Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.

This Project has No vulnerabilities Reported Against it

Did You Know...

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Languages

Languages?height=75&width=75
Python
65%
HTML
13%
Scala
11%
4 Other
11%

30 Day Summary

Mar 14 2021 — Apr 13 2021

12 Month Summary

Apr 13 2020 — Apr 13 2021

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