️Content Description️
In this video I explained the analysis of wine quality predictions. I did basic preprocessing, EDA, class balancing, feature selection, normalization, etc. We can perform both classification and regression with this dataset. I performed several types of classification on this dataset.
Text-based tutorial: https://www.hackersrealm.net/post/wine-quality-prediction-analysis-using-python
GitHub code repository: http://bit.ly/mlcoderepo
Dataset link: https://www.kaggle.com/rajgold46/wine-quality

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Timeline
00:00 Introduction to the analysis of wine quality predictions
02:49 Importing modules and loading data with pandas
04:23 Information about statistics data
05:55 Pre-processing of the wine quality data
08:30 Exploratory data analysis of wine quality
16:57 Correlation matrix for wine quality
19:00 Class balancing using SMOTE
22:30 Model training and testing for wine quality

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