How To Automate Feature Engineering With AI (New Python Tutorial)

I’m excited to share how to create your own feature engineering agent to automate data science tasks using AI. I’ll walk you through the code and demonstrate how this agent can streamline processes like data cleaning and feature engineering, specifically for customer churn modeling. I encourage you to check out the GitHub repo linked in the video and give it a star! Additionally, I’ll be sharing more tips through my AI tips newsletter, so be sure to register for that. RESOURCES AND LINKS: 👉 Get The Python Code Shown In The Video (& Join My AI-Tips Newsletter): https://learn.business-science.io/free-ai-tips?el=youtube Code Folder: /004_automate_feature_engineering_copilot 👉 Python AI Data Science Team On GitHub (Give it a Star): https://github.com/business-science/ai-data-science-team 👉 Generative AI Bootcamp (Paid 8-Week Program): https://learn.business-science.io/generative-ai-bootcamp-enroll 👉 Follow me on social: https://www.linkedin.com/in/mattdancho/ https://x.com/mdancho84 https://www.threads.net/@matt_dancho Table of Contents 00:00 Introduction to AI Feature Engineering Agents 02:02 Building the Feature Engineering Agent 06:00 Running the Feature Engineering Agent 09:00 Evaluating the Results 13:00 Next Steps, Project Roadmap, & GenAI Bootcamp