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Estimating Customer Lifetime Value for
Business

  • Learn the theory, concepts and Machine Learning methods on estimating Customer Lifetime Value (CLTV) for
    businesses.
  • Explore formula based, ML and probabilistic approaches and implement them using Python. Know about the mistakes
    to avoid and industry best practices.."

Created by Selva Prabhakaran

  • 31 Video Lessons

  • English

  • English captions

What you will learn

01

What is CLTV and how companies use it?

02

Formula and variations of CLTV

03

ML Based modeling approaches to predict CLTV

04

Probabilistic modeling approaches

05

How to do customer segmentation and best practices.

06

How to validate
CLTV models

07

Code demo with access to fully solved examples

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

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 & 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 an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 10K+students

  • 15+ Courses

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