streamlit-decision-trees

Decision Trees - hyper parameter tuning demo using Streamlit

Demo

You could host this on heroku by creating an app and pushing the contents.
Read this guide on hosting a streamlit app on heroku
For Graphviz to work on heroku, you need to add a buildpack. Look here for instructions.
After you add graphviz, if your python environment is not being set up properly, go to application settings on heroku and add python buildpack in 'BuildPacks' section.

Install streamlit using pip install streamlit. Look here for installation guide.
Run streamlit run <file.py>
More examples and documentation of streamlit can be found here

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Dockerfile		Dockerfile
Procfile		Procfile
Readme.md		Readme.md
app.yaml		app.yaml
heart_v2.csv		heart_v2.csv
hyper-parameter-tuning.py		hyper-parameter-tuning.py
requirements.txt		requirements.txt
setup.sh		setup.sh