Predict Ad Clicks Using Logistic Regression and XG-Boost

Coursera Project Network

In this project, you will learn to predict ad clicks using logistic regression and XG-boost algorithms. As a consultant to a start-up running a targeted marketing ad campaign on Facebook, you'll gain expertise in training and testing models, data cleaning, feature engineering, and performance assessment of classifier models.

Train and test 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

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AI-Driven Attribution Testing

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AI-Driven Attribution Testing is a comprehensive course that equips learners with fundamental concepts and practical applications of AI-powered attribution testing,...

Course

Predict Ad Clicks Using Logistic Regression and XG-Boost

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