How to use MACHINE LEARNING to judge the quality of WINE!!! (intro machine learning project)

Week 10 of quarantine... And I'm teaching my computer how to classify wine quality as good, mediocre, or bad.

Data: archive.ics.uci.edu/ml/datasets/wine+quality
Code: github.com/kying18/wine-classification

I found some wine quality data online from the UCI machine learning data repository. In the dataset, there were approximately 5000 variations of white wine, with features such as citric acid levels, pH, alcohol, acidity, density, and so on. There was also a quality measure between 0 and 10.

I cleaned this data in python and then fed it to four different classifiers, using 80% of my data for training and 20% for testing. The four classifiers that I used were k nearest neighbors classifier, decision tree classifier, random forest classifier, and stochastic gradient descent classifier.

In the video, I show you how to train the classifier on the data, and quickly evaluate them (**note: evaluation of machine learning can go very in depth. I encourage you to check out more if you're interested!).

In the end, I use a randomized search CV on the random forest in an attempt to generate better accuracy, but the parameters did not change the accuracy by much, and from fear of overfitting, i just went with the vanilla version. However, there are so many different ways to optimize a classifier! You should read into this more if interested.

I originally wanted to get data for Franzia and cheap Trader Joe's wines and compare it to data for like $1000 wines. However, I could not find some of the features we would need to feed into the model (ie finding "total acidity" is pretty difficult). I wish I could've tried my model on familiar wines though!!

Feel free to leave any questions.

Please consider subscribing if you liked this video: youtube.com/c/ycubed?sub_confirmation=1

Thanks for watching everyone!
~~~~~~~~~~~~~~~~~~~~~~~~
Tags: machine learning,k nearest neighbor,knn,classifier,stochastic gradient descent,sgd,intro machine learning,machine learning tutorial,beginner machine learning,machine learning classification,random forest,decision tree,scikit learn,pandas,programming,machine learning in python,jupyter notebook
~~~~~~~~~~~~~~~~~~~~~~~~
Follow me on Instagram: instagram.com/yueyangy
Follow me on Twitter: twitter.com/y_cubed
Check out my website: kylieying.com