Multivariable Regression part I

video-placeholder
Loading...
강의 계획서 보기

배우게 될 기술

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

검토

4.4개(3,266개 평가)

  • 5 stars
    64.11%
  • 4 stars
    23.14%
  • 3 stars
    7.65%
  • 2 stars
    2.93%
  • 1 star
    2.14%

DA

2019년 3월 10일

Filled StarFilled StarFilled StarFilled StarFilled Star

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!

AC

2017년 8월 10일

Filled StarFilled StarFilled StarFilled StarFilled Star

Regression analysis is something that is kind of easy for people to understand (outcome and predictor - people get that!). It's easy to explain to people. So much practice using the lm function!

수업에서

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.

강사:

  • Placeholder

    Brian Caffo, PhD

    Professor, Biostatistics

  • Placeholder

    Roger D. Peng, PhD

    Associate Professor, Biostatistics

  • Placeholder

    Jeff Leek, PhD

    Associate Professor, Biostatistics

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.