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Predict Ad Clicks Using Logistic Regression and XG-Boost
Курс от CourseraО курсе
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.
Навыки, которые вы освоите
Logistic RegressionScikit Learn (Machine Learning Library)Data ManipulationPredictive ModelingModel TrainingModel EvaluationData VisualizationPredictive AnalyticsCustomer AnalysisApplied Machine LearningFeature EngineeringData PreprocessingData-Driven MarketingData CleansingScientific VisualizationDeep LearningMachine LearningPython ProgrammingMarketing AnalyticsOnline Advertising
Программа курса
1 модулей · 4 учебных материалов
01Project Overview4 материалов
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Dr. Ryan Ahmed
Professor & AI Expert (1M+ Students)