In this project we will be working with an advertising data set, indicating whether or not a particular internet user clicked on an Advertisement on a company website. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user.
- 'Daily Time Spent on Site': consumer time on site in minutes.
- 'Age': cutomer 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 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.
