Wine enthusiasts and connoisseurs, rejoice! Have you ever wondered how wine experts determine the quality of a wine? In this video, we'll explore how machine learning can be used to predict wine quality with remarkable accuracy.
Using a dataset of wine characteristics, we'll build a machine-learning model that can predict the quality of a wine based on its physicochemical properties. From acidity to sulfur dioxide levels, we'll dive into the features that matter most in determining a wine's quality.
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Website - studygyaan.com/
Source code - github.com/chichi2963/Wine-Qu...
Kaggle dataset - www.kaggle.com/datasets/asmaa...
Book(An Introduction to Statistical Learning) - www.statlearning.com/
SMOTE algorithm for balancing dataset - www.geeksforgeeks.org/ml-hand...
Timecodes
0:00 - Intro
0:28 - Importing the dataset
2:39 - Preprocessing dataset
6:09 - Train test split
8:56 - Training the model
14:13 - Testing the model