We are going to work on some synthetic advertising dataset, indicating whether or not a particular internet user has clicked on an Advertisement.
The goal is to predict if a user would click on an advertisement based on the features of the user.
In the following you can find the description of the features included in the dataset:
- 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
The sources used to create this tutorial are the following:
- Udemy's course Python for Data Science and Machine Learning Bootcamp.
- The book An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.