708: ChatGPT Code Interpreter: 5 Hacks for Data Scientists — with Jon Krohn (@JonKrohnLearns)

#ChatGPTCodeInterpreter #ChatGPT #DataScience

On this week’s Five-Minute Friday, host Jon Krohn gives five reasons why he is so excited about ChatGPT’s Code Interpreter and walks listeners through its capabilities with a practical example.

In this episode you will learn:
• [00:00:00] How ChatGPT Code Interpreter works
• [00:03:46] Hack 1: Data Summarization
• [00:04:40] Hack 2: Exploratory Data Analysis
• [00:08:55] Hack 3: Data Pre-processing
• [00:10:51] Hack 4: Machine Learning
• [00:19:37] Hack 5: Code Explanation

[welx]

Quite disappointing it's not available for ChatGPT-3.5

[psrightok]

Thanks for another great episode. One thing that wasn’t covered was data security. How do you envisage this being used in a commercial setting where sensitive data can’t be uploaded? Uploading dummy data and column names and then just copying the code? Or waiting for LLMs to be embedded within a company’s private cloud?

[hellohey]

Nice video, but I think it would have been more informative to use a non-standard dataset. The Boston housing dataset is probably present in tons of tutorials and similar, used as training data to gpt4.

[murphydogprod]

Amazing! Great stuff! Thanks for sharing these hacks! Awesome podcast man!