質問

Context

I'm currently writing a simple tutorial to demonstrate a tool to data scientists and analysts that turns Jupyter Notebooks into web apps. Basically, it discusses setting up the web app as a front end, running some code in the notebook and then returning data to the web app.

Question

My question is, what is a small interesting problem in data science that I could solve in the notebook?

I'm looking for something more interesting than doubling an input but smaller/simpler than building a computer vision model.

Additional information

As you can probably tell, I am new to data science. Apologies if this is the wrong forum for this type of question.

Here is the version with a non-interesting problem being solved in the notebook, it may provide more context if needed.

Thanks in advance for any help.

役に立ちましたか?

解決

Maybe you could try solving easy classification problems like with Iris Dataset or Titanic Dataset. You'll find many tutorials dealing with those subjects, and they are basic and famous exercices for someone starting in Data Science.

ライセンス: CC-BY-SA帰属
所属していません datascience.stackexchange
scroll top