https://github.com/suryadev99/ml_wine_tasting

To predict the quality of wine on the basis of given features using Machine Learning
https://github.com/suryadev99/ml_wine_tasting

machine-learning notebook-jupyter python xgboost xgboost-algorithm xgboost-model

Last synced: 10 months ago
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To predict the quality of wine on the basis of given features using Machine Learning

• Host: GitHub
• URL: https://github.com/suryadev99/ml_wine_tasting
• Owner: suryadev99
• Created: 2022-08-14T13:29:21.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-06-21T17:19:04.000Z (over 2 years ago)
• Last Synced: 2025-01-08T18:29:45.619Z (11 months ago)
• Topics: machine-learning, notebook-jupyter, python, xgboost, xgboost-algorithm, xgboost-model
• Language: Jupyter Notebook
• Homepage:
• Size: 1.11 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# ML_Wine_tasting

## Wine Quality Prediction

### predict the quality of wine on the basis of given features

Step 1 – Importing libraries required for Wine Quality Prediction.

Step 2 – Read input data.

Step 3 – Describe the data.

Step 4 – Take info from data.

Step 5 – Plotting out the data.

Step 6 – Counting the no. of instances of each class.

Step 7 – Making just 2 categories good and bad.

Step 8 – Alloting 0 to bad and 1 to good.

Step 9 – Again checking counts.

Step 10 – Balancing the two classes.

Step 11 – Again checking the counts of classes in new dataframe.

Step 12 – Checking correlation between columns.

Step 13 – Splitting the data in train and test.

Step 14 – Finally training our Wine Quality Prediction model.