Use Case: Predictive Modeling

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Course Description

This Use Case on Predictive Modeling and Logistic Regression will be a great exercise for any Data Modelers / Scientists interested in this branch of Machine Learning.

For this Use Case, let’s imagine you are a data analyst / scientist working for a sports car manufacturer. A brand new sports car has recently been manufactured and the General Manager of Sales has assigned you a task: you will utilize Pyramid and its Decision Intelligence capabilities to predict which of your previous customers will buy this brand-new model, obtaining a binary (yes / no) dependent variable.

Please adjust your screen zoom setting when you open the use case to see it in full screen mode. 

In this course, you will:

  • Explore the dataset you’ll be working with and the elements in it
  • Revise some basic concepts such as Predictive Analytics, Machine Learning and Logistic Regression
  • Learn how to import the dataset onto Pyramid
  • Learn how to train and test the model
  • Learn how to visualize your results.

Course Content

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