University of Maryland Classifieds>University of Maryland Online Courses>Predict Ad Clicks Using Logistic Regression and XG-Boost

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.

Created by: Coursera Project Network


Related Online Courses

This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be... more
How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or... more
This course provides a comprehensive introduction to Object-Oriented Programming (OOP) using Java, covering foundational and advanced topics. Starting with OOP principles, students will learn about... more
This is a self-paced lab that takes place in the Google Cloud console. Google Kubernetes Engine provides a managed environment for deploying, managing, and scaling your containerized applications... more
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will create and use Terraform modules to organize your cloud configuration.Created by: Google Cloud more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL