This machine learning project is about wine quality prediction using various machine learning models such as logistic regression, decision tree and random forest. Stick till the end of the video to find out which of these models gives better accuracy.
Thanks for watching!
Roshan Cyriac Mathew
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Pandas tutorial Series:
https://youtube.com/playlist?list=PLNohRKRAHasxkemkSQLUJTWN-BKZyHDk5
Wine quality dataset on Kaggle:
https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009
Wine Quality dataset on UCI ML Repository:
https://archive.ics.uci.edu/ml/datasets/wine+quality
Link to project code on GitHub:
https://github.com/roshancyriacmathew/Wine-Quality-Prediction-using-Machine-Learning
Check out more of my machine learning projects at:
https://youtube.com/playlist?list=PLNohRKRAHaszuDbT6oSNhD91kpqI18G7d
#winequalityprediction #logisticregression #decisiontree #randomforest #kaggleproject #machinelearningproject
