Machine learning is typically regarded as one of the more advanced areas of working with data, requiring complex algorithms and statistical knowledge. Generative AI is changing that! By having your Python code generated by AI, you can be highly productive at machine learning with very little experience.
In this session Francesca Donadoni, a Curriculum Manager at DataCamp, shows you how to make use of ChatGPT to implement a simple machine learning workflow. You'll learn how to import a dataset, engineer some features, train a model, make predictions, and assess the model performance - all without writing any code yourself!
Note: Some sections of the session require a ChatGPT Plus or Enterprise plan to follow along live. If you do not have one of these subscriptions, you can simply watch and learn.
Key Takeaways:
- Learn how to implement a machine learning workflow without writing code using ChatGPT.
- Learn how to engineer your prompts for accurate and repeatable results.
- Discover best practices for working with ChatGPT and other generative AI tools for data science.
