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.

You will need to download and install the following files: the dataset for this course, and the Training Data Models (note this includes instructions for Python packages and environment, which will be needed during the course).

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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