AutoML with ChatGPT | ChatGPT for Data Science

Improve your productivity! Code better & De-bug faster!

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AutoML with ChatGPT | ChatGPT for Data Science

What You Will Learn!

  • How ChatGPT could be leveraged to master machine learning
  • What are the best practices in prompt engineering
  • How ChatGPT could improve the productivity
  • What are the limitations of ChatGPT
  • How ChatGPT could be used to de-bug computer programs

Description

Welcome to "AutoML with ChatGPT," an extensive course crafted meticulously to enhance your prowess in utilizing one of the most advanced language models for machine learning applications. This course unfolds a step-by-step guide on how to adeptly write code, debug and navigate the terrain of creating intricate machine learning models using ChatGPT.


Our in-depth sessions cover a blend of prompt engineering and hands-on practical demonstrations, enabling you to fathom the diverse potentials of ChatGPT and understand how to fine-tune it for your specific machine learning tasks. Additionally, we delve into the commonly encountered debugging issues, equipping you with techniques to address and rectify them, thereby enhancing your model-building proficiency.


This course is an essential toolkit for both novices and professionals seeking to augment their artificial intelligence and machine learning skills, by mastering the use of the groundbreaking ChatGPT. As you gain a profound understanding of how to write effective code, debug, and construct machine learning models with ChatGPT, you position yourself at the vanguard of the burgeoning AI revolution.


Furthermore, this course also places emphasis on data privacy challenges, ensuring that your AI models are not only powerful, but also responsible.


Join us on this exciting journey as we delve into the captivating world of AI-driven language understanding and generation, unravelling the myriad applications of ChatGPT in the modern AI landscape.


Who Should Attend!

  • Students
  • Python programmers
  • Machine Learning enthusiasts
  • Data scientists

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Subscribers

2

Lectures

13

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