In this chapter, we used the Wine Quality dataset provided by UCI to perform EDA. We discussed how we can perform EDA techniques such as data loading, data wrangling, data transformation, correlation between variables, regression analysis, and building classical ML models based on the datasets.
This is the final chapter in this book. As mentioned earlier, the explanation of the theory, codes, and illustrations provided in this book have been given to provide you with a base knowledge set. We assume that after reading this book, you will gain sufficient insights, techniques, and skills to take it to the next level.
