Use Spark to predict product line with WML
Notebook
Watson Machine Learning
Description

This notebook contains steps and code to get data from the IBM Watson Studio Community, create a predictive model, and start scoring new data. This notebook introduces commands for getting data and for basic data cleaning and exploration, pipeline creation, model training, model persistance to Watson Machine Learning repository, model deployment, and scoring. This notebook uses the latest version of Python and Spark.

Details
Publisher
IBM Analytics
Modified
Dec 22, 2023
Drag and drop files to add data source.