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존스홉킨스대학교의 Regression Models 학습자 리뷰 및 피드백

4.4
2,729개의 평가
463개의 리뷰

강좌 소개

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....

최상위 리뷰

KA

Dec 17, 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.

BA

Feb 01, 2017

It really helped me to have a better understanding of these Regression Models. However, I've noticed that there is a video recording repeated: Week 3, Model Selection. Part 3 is included in Part 2.

필터링 기준:

Regression Models의 443개 리뷰 중 126~150

교육 기관: Matthew C

Nov 21, 2017

교육 기관: Anil G

May 14, 2018

교육 기관: Erich F G

Mar 20, 2018

교육 기관: Ganapathi N K

May 06, 2018

교육 기관: Andrea F

Apr 19, 2017

교육 기관: Maggie L

Aug 28, 2017

교육 기관: Greg A

Feb 22, 2018

교육 기관: Sumeet M

Jan 07, 2018

교육 기관: Amit K R

Nov 21, 2017

교육 기관: JEEWESH K J

Oct 09, 2017

교육 기관: Eduardo v

Apr 04, 2018

교육 기관: Artem V

May 16, 2017

교육 기관: Ryan C Y H

Jul 02, 2017

교육 기관: Adán H

Sep 13, 2017

교육 기관: Deliang L

Nov 02, 2016

교육 기관: Changkeun K

Sep 11, 2017

교육 기관: Marco C

Apr 24, 2018

교육 기관: Kyle H

Apr 02, 2018

교육 기관: Vitalii S

Jul 20, 2017

교육 기관: Sabawoon S

Sep 12, 2017

교육 기관: Darshan

Jun 19, 2017

교육 기관: Keidzh S

Jul 03, 2018

교육 기관: Connor G

Sep 18, 2017

교육 기관: T, K

Jul 04, 2018

교육 기관: William A

May 17, 2018