Market Basket Analysis in Python

Resources

• Slides

• Student Notebook

• Solution Notebook

Join us for this live, hands-on training where you will learn how to analyze consumer behavior in Python with simple, but powerful algorithms. Using Jupyter Notebooks you’ll learn how to translate vast amounts of consumer decision-making data into concrete recommendations for businesses by applying Market Basket Analysis. Fill out the form to access the webinar recording, slides, and session notebooks.

What will I learn?

You will learn how to:

• Identify patterns in consumer decision-making with the mlxtend package.

• Use metrics to evaluate the properties of patterns.

• Construct "rules" that provide concrete recommendations for businesses.

• Visualize patterns and rules using seaborn and matplotlib.

What should I prepare?

Please note, a Gmail account is required in order to use Colaboratory, a free Jupyter notebook environment. You can join the webinar from your web browser following the instructions you receive in your registration email. All required data/resources will be provided in the training.

Who should attend?

This course is open to all DataCamp Premium learners, looking to analyze consumer behavior with simple, but powerful techniques in Python. We recommend that you have taken the following course before attending:

• Market Basket Analysis with Python

• Data Manipulation with pandas

Isaiah Hull

Economist