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
3,314 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:

201 - 回归模型 的 225 个评论(共 551 个)

创建者 Joonas S

May 29, 2017

创建者 sagar s

Sep 12, 2017

创建者 Dr. G N P

Jan 6, 2020

创建者 Sergio R

Jul 30, 2017

创建者 Dan K H

Mar 3, 2017

创建者 Florian

Jul 3, 2016

创建者 Efejiro A

Jul 2, 2018

创建者 ayush j

Apr 19, 2018

创建者 Edgar I

Jan 1, 2017

创建者 Sai K G

Feb 1, 2016

创建者 Amit R

Jun 11, 2020

创建者 Chris

Nov 2, 2016

创建者 Yubo Y

Apr 3, 2016

创建者 UMAR T

Mar 19, 2020

创建者 Rizwan M

Sep 10, 2019

创建者 sirsendu s

Aug 30, 2018

创建者 Aiyu L

Feb 16, 2021

创建者 Vibhutesh K S

Feb 9, 2019

创建者 riTesh

Oct 21, 2018

创建者 Raja J

Nov 19, 2017

创建者 Hawk G

Oct 17, 2017

创建者 Luis A M C D

Oct 29, 2020

创建者 Seyedeh M M

Mar 14, 2019

创建者 Artem V

May 15, 2017

创建者 Farhan M

Feb 26, 2017