본문으로 건너뛰기

Getting Started with Machine Learning Using ChatGPT

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.
Francesca Donadoni
Francesca Donadoni

무료 계정 만들기

실습 문제하고 트랙하세요.

Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

함께 코드 따라하기

코드 따라하기 ↗

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.

Resources

주제

관련

튜토리얼

A Guide to Using ChatGPT For Data Science Projects

코딩 실습

Data Storytelling with ChatGPT