This was my first time integrating one of my old Data Science projects into Streamlit. Its an open-source app framework for Machine Learning and Data Science teams to showcase their work and present it in a more UI friendly way to the end user. Best part is that its purely in Python.
So I tested it out with one of my old classification projects. It’s nothing fancy at all, just a test app to see how streamlit works with ML models.
Check it out in the link below.
The app is deployed on Heroku for public access. The first time you run it, it shows a cache miss warning. I still need to fix that but reload it and it works fine.
Further tasks:
1. Give an explanation on the app as its obviously unclear what it can do.
2. Fix the cache miss warning.
3. Include more ML models and configuration.
4. The predicted result should be in a sentence instead of 0 and 1.
5. Build more visualizations in the app.
Resources:
https://www.coursera.org/projects/machine-learning-streamlit-python
