Survival Analysis Part 2 : Predicting Time to Event for Lungs Cancer Patients


  • Let's understand the intuition behind survival analysis concepts and how to implement in detail
    on real world applications.

Created by Selva Prabhakaran

  • 16 Video Lessons

  • English

  • English captions

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Course Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts

What you will learn

01

How does Uplift Modeling
work?

02

Interpret Survival functions
and Hazard functions

03

Implement Kaplan-Meyer
Estimator

04

Adding Contextual features
with cox-Proportional Hazard
method

05

Implement end-to-end time
to event analysis

06

Improving Prediction accuracies
and Confidence bands

Course Curriculum

3 Modules      |    15 Sessions     |    1 hour 41 min Total Time  

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Problem Statement and Exploratory Analysis

Sessions: 7 | Time: 48 min expand_more

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Multi Variate Survival

Sessions: 4| Time: 23 min expand_more

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Accelerated Failure Time (AFT) with XGBoost

Sessions: 4| Time: 30 min expand_more

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

  • Professionals working with large datasets

  • Software/Data engineers interested in quantitative analysis

  • 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

Validity Period: 365 days

Already Subscribed? Click here to access your courses

  •  Workshop Certificate
  • Code Walkthroughs
  • Practice Data
  • Money Back if not satisfied
  • Algorithms explanation
  • 2h 26m of Self-paced videos
  • Downloadable resources
  • Q&A sessions with experts