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Clients

This project demonstrates how to present machine learning solution as a web application using Streamlit framework. The data used in this repo is the Airlines Customer satisfaction dataset.

Try app by the link: https://clients.streamlit.app/

Files

app.py: streamlit app file
model.py: script for generating the Random Forest classifier model
clients.csv: data file
requirements.txt: package requirements files
clients.ipynb: jupyter notebook with describing of preprocessing and model fitting

About

This repository was created as part of the ML model deployment bootcamp by AI Education

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