Search⌘ K
AI Features

Coding Challenge: Tips and Tricks

Explore strategies to build machine learning pipelines, visualize feature importance, and export models using scikit-learn. This lesson guides you through a practical coding challenge predicting customer churn with real data, enhancing your workflow and predictive modeling skills.

We'll cover the following...

We’ll now work with a dataset containing information on a bank’s customer base that contains the following variables:

  • customerID: The customer’s unique ID.

  • gender: The customer’s gender.

  • SeniorCitizen: The customer’s senior citizen status.

  • Partner: The customer’s relationship status.

  • Dependents: The customer’s number of dependents.

  • tenure ...