Machine Learning - Predicting Response Rates to Advertising Campaign
In this project, I created a model using Logistic Regression that predicts wheter a internet user will click on an advertisement. The prediction is made based on features associated with the user, such as Age, Internet Usage, Location, and more..
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Overview
This post uses Machine Learning to predict whether a user clicked on an advertisement. Exploratory analysis, data visualizations, and test/train functions are included within the analysis. Logistic regression was used to create the final model.
Data
The data contains over 1,000 entries, containing the Age, Location, Time Stamp, and Daily Time Spent on Site for each user.
Results
