Wine Quality_Prediction
- 0 Collaborators
For this project, I used Kaggle’s Red Wine Quality dataset to develop multiple classification models to predict whether a certain red wine is “good quality” or not. Each wine in this dataset is assigned a “quality” value between 0 and 10.11. ...learn more
Project status: Published/In Market
Intel Technologies
oneAPI
Overview / Usage
The main aim of the project is to use different machine learning models to predict the quality of wine. We compare the accuracy of each model at the final section. Ripeness Level of Grapes. How ripe the grapes are will affect their sweetness and acidity level. ...Cold Soaking. ...Fermentation Temperatures. ...Type of Aging Containers. ...Capping Method tells us if the wine is in good quality and manual testing is pretty hard.
Methodology / Approach
The dataset used is obtained from kaggle,it is imported to the notebook.There are nomissing values found in the data . We have splitted the data into train and test sets and validated it with different machine learning algorithms.
Technologies Used
oneAPI,Python,Jupyter notebook