Skip to content

Latest commit

 

History

History
23 lines (19 loc) · 865 Bytes

README.md

File metadata and controls

23 lines (19 loc) · 865 Bytes

WineQualityPredictionApp:

Link to the app: https://vinylbr-winequalitypredictionapp-app-f9qbpz.streamlit.app/

Overview of the project

  1. Deploy trained ML model that predicts the quality of red and white wine
  2. Ensure usability for user who may be unfamiliar to jargon associated with features
  3. Allow the user to explore model predictions for different values of features using interactive elements like sliders

Python Packages Used:

  1. streamlit
  2. numpy
  3. pandas
  4. sckit-learn
  5. matplotlib.pyplot

Data:

Wine quality data used from: https://archive.ics.uci.edu/dataset/186/wine+quality

Future Work:

A cleaner way to execute multi-page streamlit apps.

Sources of Inspiration:

  1. Repository: ml_dashboard_streamlit, Publisher: Github, Author: sunny2309 [https://github.com/sunny2309/ml_dashboard_streamlit]
  2. https://docs.streamlit.io/