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ジョンズ・ホプキンズ大学(Johns Hopkins University) による Regression Models の受講者のレビューおよびフィードバック

4.4
2,972件の評価
501件のレビュー

コースについて

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....

人気のレビュー

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.

フィルター:

Regression Models: 251 - 275 / 482 レビュー

by Ashwin V

Oct 11, 2019

great course

by Shashwat K

Oct 15, 2018

goof course.

by Harland H

Aug 11, 2018

Good course!

by T, K

Jul 04, 2018

Nice Course!

by Veronica F V M

Nov 23, 2017

Muy bueno :)

by Divvya.T

Nov 02, 2017

goood course

by Magnus G A

Feb 14, 2017

Great Course

by Sudarshan D

Feb 08, 2016

Great Course

by Sumeet M

Jan 07, 2018

Good Course

by Chris

Dec 22, 2017

good class.

by Venkatesh

Jul 08, 2017

Very useful

by Darshan

Jun 19, 2017

Nice course

by Omar m m

Sep 20, 2018

excellence

by Craig S

Dec 31, 2017

Very Good!

by Reinhard S

May 19, 2017

well done!

by Carlos R O

Dec 26, 2016

Very Nice!

by Kai W P

Nov 05, 2016

Very good.

by Ilan L

Jul 10, 2016

very usful

by GAURAV G

Jun 01, 2020

Excellent

by PRABHAT K

Jul 21, 2017

Excellent

by RAHULR

Jul 02, 2020

its good

by Xiaole Z

Jul 26, 2019

helpful!

by William A

May 17, 2018

Loved it

by Maggie L

Aug 28, 2017

Love it!

by Charles-Antoine d T

Oct 29, 2017

amazing