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.