Predicting CTR with Machine Learning in Python

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

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.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Data Manipulation with pandas

What You Will Learn

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Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads

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This course will teach you how to implement basic models in Python so that you can see how to better optimize ads with machine learning

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Using real-life ad data you’ll learn how to engineer features, build machine learning models using those features, and evaluate your models in the context of CTR prediction

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By the end of this course, you’ll have a strong understanding of how you can apply machine learning to make your ads more effective

Course Instructors

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Kevin Huo

Data Scientist

Kevin is a data scientist who graduated from the University of Pennsylvania with a focus on Computer Science within Engineering, and Statistics and Finance within Wharton. His interests include machi...

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