book

Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

Name: Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning
Author: Tshepo Chris Nokeri
ISBN: 9781484268704

by Tshepo Chris Nokeri

March 2021

Beginner to intermediate

261 pages

4h 7m

English

Apress

Content preview from Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

T. C. NokeriData Science Revealedhttps://doi.org/10.1007/978-1-4842-6870-4_11

11. Survival Analysis

Tshepo Chris Nokeri¹

(1)

Pretoria, South Africa

This chapter introduces the survival analysis. The method comprises two families: the parametric method and the nonparametric method. Parametric survival analysis models include Weibull, exponential, log-linear, and many others (learn more from Lifelines¹). Nonparametric survival analysis models include Kaplan-Meier and Nelson-Aalen.

This chapter covers only the most popular nonparametric model, called the Kaplan-Meier model, which measures a binary variable using time. It has relaxed assumptions about the structure ...

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Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

by Tshepo Chris Nokeri

11. Survival Analysis

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.