Predict Ad Clicks Using Logistic Regression and XG-Boost

About this course

In this project, we will predict Ads clicks using logistic regression and XG-boost algorithms. In this project, we will assume that you have been hired as a consultant to a start-up that is running a targeted marketing ad campaign on Facebook. The company wants to analyze customer behavior by predicting which customer clicks on the advertisement.

What you will learn

• Train and test an XG-Boost and Logistic Regression models in Scikit-Learn
• Perform data cleaning, feature engineering and visualization
• Assess the performance of trained classifier models using various KPIs such as accuracy, precision and recall