Uplift modeling: Estimating incremental impact of Marketing Campaigns
Learn about the uplift modeling and it's methodologies from scratch.
Prabhakaran SPrincipal Data Scientist
Included in All-Access, one membership for every course.
- Lessons
- 12, in 2 chapters
- Video
- 1 h 22 min
- Free to watch
- 1 lesson
- Certificate
- On completion
Course content
2 chapters · 12 lessons · 1 h 22 min · 1 free to preview
01Introduction to Uplift Modeling5 lessons · 24 min
- Types of Modeling ApproachesPreview14:00
- Download Resources1:00
- The big problem uplift modeling can solve4:08
- Types of customers2:45
- What exactly is the Uplift?2:03
02Uplift Modeling Workflow for Single Treatment7 lessons · 1 h
- Import data7:40
- Preprocess Treatment3:52
- Course Review1:00
- Treatment and Control2:47
- Train the Models and calculate uplift25:22
- Extracting the four types of customers12:44
- QINI Curve6:50
What you need
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who this course is for
- Data Science Aspirants
- Data Science Professionals
- Software/Data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
Your instructor

Prabhakaran S
Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this course!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!
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- 4.92
- learners
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Questions
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