This video shows how to create, train, save, and deploy a logistic regression model that assesses the likelihood that a customer of an outdoor equipment company will buy a tent based on age, sex, marital status and job profession. After watching the video, try the step-by-step tutorial.

This videos shows you how to create a very simple Python Flask web application front end to call a deployed Logistic Regression model in real time. This video is a continuation of the logistic regression analysis video. After watching the video, try the step-by-step tutorial.

1 comment on"Build a Logistic Regression Model With Watson Machine Learning"

  1. Viral Ruparel May 31, 2018

    not getting api results in notes after giving the credentials.

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