Online Purchase Intent
Online Purchase Intent In this blog we will explore a classification problem of judging whether an online buyer will end up buying an item based on his online activity. The dataset can be found here . There are 17 features of which 10 are continuous and 7 categorical. There is one target variable with binary classification of True or False depending on whether any revenue was generated. Exploring the Dataset Let us begin by exploring the data set. We have the following features and their description. # Administrative Administrative Value # Administrative_Duration Duration in Administrative Page # Informational Informational Value #Informational_Duration Duration in Informational Page #Product_related Product Related Value #ProductRelated_Duration Duration in Product Related Page #BounceRates Bounce Rates of a web page #ExitRates Exit rate of a web page #PageValues Page values of each web page #SpecialDay...