As someone who is currently juggling a full-time data science job with multiple freelance projects, I am usually the first to try tools that can potentially decrease my turnaround time.
When ChatGPT started rolling out the Code Interpreter plugin to subscribers in the past week, I couldn’t wait to incorporate it into my data science projects.
Gone are the days when we’d manually copy and paste data into ChatGPT and wait for a response.
With Code Interpreter, you can simply upload your dataset and get the tool to analyze your data, build machine learning models, and generate visualizations in minutes.
In this article, I will show you how Code Interpreter can be used to execute an end-to-end data science project.