Titanic survival

This was my (Learn through doing) project to get my hands on Streamlit. I picked the titanic dataset and used XGBoost to model the data, saved the model as a whl and used it to build the dashboard. This was a great learning opportunity for me, I would like to take this chance to thank the Streamlit team for this great tool, I can’t think of possibilities and stuff I can do with it.

https://share.streamlit.io/atheeralattar/titanic-streamlit/main/titanic.py

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Hi @atheeralattar!

Thanks for sharing your app with us!

It looks ace, and what a great to get started with Streamlit and Machine Learning foundations!

Happy Streamlitin’! :balloon::raised_hands:

Charly

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