In this project, we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an advertisement. We will try to create a model that will predict whether or not they will click on an advertisement based on the features of that user.
The data set contains the following features:
'Daily Time Spent on Site': consumer time on-site in minutes
'Age': customer age in years
'Area Income': Avg. Income of geographical area of consumer
'Daily Internet Usage': Avg. minutes a day consumer is on the internet
'Ad Topic Line': Headline of the advertisement
'City': City of consumer
'Male': Whether or not the consumer was male
'Country': Country of consumer
'Timestamp': Time at which consumer clicked on Ad or closed window
'Clicked on Ad': 0 or 1 indicated clicking on Ad