I created a tutorial where I show how to develop an app that includes machine learning algorithms. In particular, it highlights the difference to more deterministic projects. I do this using the example of predicting brain strokes. The idea is to develop an app that gives patients the probability of having a stroke by entering their data. Starting with the idea up to the finished app, every step will be gone through.
Here is the Kaggle Notebook:
Here’s where to find the Streamlit app:
I appreciate any feedback
You app looks cool but if you provide drop down for the input values like age,marriage status it would be great.
And I think your data might have some issues, occupation type is showing as “Children”.
Overall a great app need some tuning here and there.
thank you for your feedback.
The marriage status is indeed already dropdown. I chose the sliders because I want the user to have fun using the app. This makes experimentation easier in particular with mobile phone.
Occupation = children is correct regarding the data - maybe a bit confusing. I have changed it to „child“ to make clear that being a child is meant. See Kaggle Notebook, everything is described there.
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