I returned to the titanic competition in lesson 5 for working on EDA, feature engineering and also building a Fast.AI model. I explored how I could co-work with ChatGPT on this task. As a result I created the following notebooks:
- Titanic EDA and 1R with ChatGPT): The goal of this notebook is to create a 1R-model (One Rule, also see related paper) of the Titanic Kaggle Competition after doing EDA (Exploratory data analysis), supported by ChatGPT.
Titanic Feature Engineering and Model Creation with ChatGPT): The goal of this notebook is do some feature engineering on the dataset of the Titanic Kaggle Competition and to later create a Fast.AI-
learnerto submit the result to Kaggle, supported by ChatGPT.
I also wrote about my thoughts on working with ChatGPT and what I have learned along the way in this blog post.
What are your experiences of working with ChatGPT on Fast.IA? (or data science topics / Kaggle competitions)?