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In this data science project, we will explore wine dataset for red wine quality. The objective is to explore which chemical properties influence the quality of red wines. As interesting relationships in the data are discovered, we’ll produce and refine plots to illustrate them.
We will learn how to ask the right questions for data analysis at certain points in the project. Finally, we would learn how to storyboard our analysis to create a final picture from our work to help decision makers understand how wine qualities were influenced.
Learn to classify the sentiment of sentences from the Rotten Tomatoes dataset. You will be asked to label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
In this machine learning project, you will build predictive models to identify wine preferences of people using physiochemical properties of wines and help restaurants recommend the right quality of wine to a customer.