Predict Return to Airline

This is a comprehensive predictive analytics project, in which I clean and prepare the raw survey data for the analysis. Do exploratory analysis around customer’s responses, check for multicollinearity among questions in the survey and then use Logistic Regression in H2O to create a predictive model and identify the key drivers of return, an insight which could be used for making marketing decisions.

The report is produced using Rstudio as an HTML file. You can find the code on my github page.