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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, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.