GitHub / IBMDeveloperMEA / Data-Science-Lifecycle-Collect-Clean-Predict-Analyze-your-Data

Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting customer churn of car owners. We will be utilizing Watson data refinery to alter our data, and then use AutoAI to rapdliy develop a classfication machine learning model in a matter of minutes and predict our customer chrun.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IBMDeveloperMEA%2FData-Science-Lifecycle-Collect-Clean-Predict-Analyze-your-Data

Topics: autoai, automl, cloudpaks, cp4d, data-science, data-science-pipelines, pipline, watson, watson-studio

• Files
• Readme
• Dependencies