Skip to content

IBMDevConnect/Recommendation_service

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

Recommendation service

This notebook helps you to deploy the Recommendation Model using IBM cloud service Watson studio and Watson Machine Learning (WML) . Watson Studio provides the Apache spark based python notebook and WML helps in exporting the model as endpoint API

Following are the steps to deploy the same:

  1. Register / Login to IBM cloud

  2. Provision the Watson studio from IBM cloud service catalog

  3. Deploy te WML service

  4. Create a python notebook based project in Watson studio and import the provided notebook

These steps are clearly explained in the youtube link : youtube.com/watch?v=BTEO89LkcJg

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%