Predicting CTR with Machine Learning in Python

Wondering how companies like Facebook and Google can serve you targeted ads that you will click on? Rich user data is combined with sophisticated machine learning models to predict click through rates (CTRs), for every user who views the ads. This course will teach you how to build basic models in Python that optimize ads for machine learning. This course will allow you to apply real-life data to demonstrate how features can be engineered and machine learning models built with them. You'll also be able to evaluate your models in the context of CTR prediction. This course will provide a solid foundation in machine learning and how it can help improve the effectiveness of your ads.