GauravSahani1417/Wine-Quality-Model-Deployment
In my Wine Quality Prediction Model, firstly took the dataset from Kaggle Datasets, trained it efficiently with appropriate EDA, and predicted the model, using CatBosstClassifier Algorithm, got accuracy around 85.98%, Deployed it locally using App.py and Html files, So basically, By inserting various parameters like, pH levels, Type of Wine, Acidity content, sulphate content, my model Predicts the Quality of the wine, within the range of 1 to 10.This Model can be efficiently used by the Wine Testers, in order to predict the quality of Wine, in production.
Jupyter Notebook