Skip to content
/ Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning Public

In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

11 stars 2 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

farrellwahyudi/Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
README.md
README.md
 
 

Repository files navigation

Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

About

In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

Topics

machine-learning data-analysis logistic-regression confusion-matrix learning-curve impact-analysis feature-importance click-through-rate classification-models business-recommendation ad-click-prediction

Resources

Readme
Activity

Stars

11 stars

Watchers

1 watching

Forks

2 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages