Model Selection part II

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Получаемые навыки

Model Selection, Generalized Linear Model, Linear Regression, Regression Analysis

Рецензии

4.4 (оценок: 2,985)
  • 5 stars
    63%
  • 4 stars
    24%
  • 3 stars
    8%
  • 2 stars
    3%
  • 1 star
    2%
DA

Mar 11, 2019

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

CJ

Jan 04, 2018

The best course in my mind, but I am chocked about how Data Science people approach regression type of problems, it is almost 100% data mining and no theory!! I wonder where it will take us..

Из урока
Week 3: Multivariable Regression, Residuals, & Diagnostics
This week, we'll build on last week's introduction to multivariable regression with some examples and then cover residuals, diagnostics, variance inflation, and model comparison.

Преподаватели

  • Brian Caffo, PhD

    Brian Caffo, PhD

    Professor, Biostatistics
  • Roger D. Peng, PhD

    Roger D. Peng, PhD

    Associate Professor, Biostatistics
  • Jeff Leek, PhD

    Jeff Leek, PhD

    Associate Professor, Biostatistics

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