Customer Churn Machine Learning Analysis with Data Balancing Techniques

This month we have another awesome instalment from the AB Python community! We'll take a dive into ML topics which affect domains such as credit risk, anomaly detection, and fraud detection.

In this talk, you'll learn why data balancing for machine learning projects is important and why it should be done. You'll see results of various data balancing (Oversampling, Undersampling, and SMOTE) techniques including associated predicted results.

Jay will share every aspect of this machine learning experiment via 3 Jupyter Notebooks.

---- About the Speaker ---
Jay Gupta is a project management professional with a passion for data analytics, and machine learning. You can connect with him via his LinkedIn at https://www.linkedin.com/in/jayguptanetwork/

----- About AB Python Groups -----
Be sure to check out the other Alberta python communities!
PyYYC: https://www.meetup.com/py-yyc/
EdmontonPy: https://www.edmontonpy.com/