Logistic Regression

In this project, I will be working on a fake advertising dataset with the aim of creating a model that will predict whether or not a user will click on an advertisement on a company website based off the features of that user. The objective is to showcase my skill in creating a logistic regression model.

This 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 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

Click link below to view code

https://github.com/AiratAroyewun/Logistic-Regression/blob/da109161322f2b8ab61df556af248997b83bd139/Predicting-User-Click.ipynb