Wine quality Predictor

During production of wine there may occur an reduction in quality due to some error in production process. Since wine is produced in large quantiti…

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View source folder on GitHub →contributed by

@rik-chatterjee

Wine quality Predictor

Descirption

During production of wine there may occur an reduction in quality due to some error in production process. Since wine is produced in large quantities this can result in wastage of wine. This problem can be simply solved using a tool that inputs various quality parameters of wine from previous batch and predict the quality of wine.

Parameters Used:

Fixed acidity
volatile acidity
citric acid
residual sugar
chlorides
free sulphur dioxide
total sulphur dioxide
density
pH
sulphates
alchol
quality

Libraries Used:

Numpy
Pandas
Scikit-learn - Support Machine Vector

Pyodide-runnable

No — it reads a local CSV with pandas and trains a scikit-learn model; scikit-learn is not available in Pyodide and the script reads from the real filesystem.