Chevron Left
返回到 回归模型

学生对 约翰霍普金斯大学 提供的 回归模型 的评价和反馈

4.4
3,309 个评分

课程概述

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing....

热门审阅

KA

Dec 16, 2017

Excellent course that is jam-packed with useful material! It is quite challenging and gives a thorough grounding in how to approach the process of selecting a linear regression model for a data set.

DA

Mar 10, 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!

筛选依据:

226 - 回归模型 的 250 个评论(共 550 个)

创建者 Paula L

Dec 2, 2016

创建者 Ravi K

Jun 12, 2019

创建者 Terry L J

Nov 2, 2018

创建者 Felipe L

Jan 23, 2016

创建者 Eric H

Dec 20, 2020

创建者 Mounika G

Apr 15, 2020

创建者 Handong D B

Aug 14, 2016

创建者 Eric Y

Dec 9, 2018

创建者 Sanjeev R

Feb 2, 2019

创建者 GUDDETI N K 1

Sep 30, 2020

创建者 Alimohammad P

Aug 11, 2019

创建者 Rodney J

Jul 30, 2017

创建者 Rui W

Feb 13, 2020

创建者 Albert C G

Sep 2, 2016

创建者 Tan W M

Jun 21, 2016

创建者 Naveen S

Sep 6, 2019

创建者 Jaime A

Oct 12, 2016

创建者 hippo d

May 16, 2021

创建者 udaya B

Jan 27, 2020

创建者 刘晶

Sep 14, 2018

创建者 Ryan C Y H

Jul 1, 2017

创建者 Pragya K

May 22, 2017

创建者 Conner M

Apr 5, 2018

创建者 Tiberiu D O

Sep 21, 2017

创建者 John P

Nov 26, 2016