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Вернуться к Регрессионные модели

Отзывы учащихся о курсе Регрессионные модели от партнера Университет Джонса Хопкинса

Оценки: 3,223
Рецензии: 547

О курсе

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....

Лучшие рецензии

16 дек. 2017 г.

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.

31 янв. 2017 г.

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.

Фильтр по:

401–425 из 529 отзывов о курсе Регрессионные модели

автор: Pooia L

13 сент. 2018 г.

This is a very nice course provided you study a lot for it

автор: Karthik R

7 авг. 2017 г.

Knowledge on Statistics will help in better understanding.

автор: Luong M Q

16 окт. 2017 г.

some complicated contents that are hard to fully grasp.

автор: H Y

8 февр. 2017 г.

Content regarding variable selection is kind of rough.

автор: Camilo Y

14 мар. 2017 г.

Great introduction to regression models. Pretty clear

автор: Madhuri

26 окт. 2016 г.

prerequisites are very mandatory to do this course

автор: pulkit k

9 июня 2018 г.

It lacked practical application, not impressed.

автор: Mitraputra G

14 янв. 2017 г.

A little monotonous sometimes. Otherwise good.

автор: Mehrshad E

18 дек. 2017 г.

I found SWIRL more helpful than the lectures.

автор: Sameen S

1 окт. 2018 г.

The lectures were a bit complex and lengthy.

автор: Ankush K

16 янв. 2018 г.

really informative with helpful examples.

автор: Mehul P

3 окт. 2017 г.

Easy way to understand Regression.

автор: David E L B

18 мая 2017 г.

Really helpful and well presented.

автор: Teppakorn

22 июня 2016 г.

Advance topic in regression model.

автор: Serg C

31 окт. 2017 г.

Not an easy one, definitely !


автор: Norman B

7 февр. 2016 г.

A decent overview of regression

автор: Nicolas H

9 нояб. 2020 г.

Muy buenas herramientas!!

автор: Manpreet S

23 окт. 2019 г.

Good Course for beggining

автор: Daniiar B

27 сент. 2018 г.

Very hard to understand

автор: Prabesh S

6 мая 2016 г.

Very intuitive course

автор: Yogesh A

13 окт. 2017 г.

Good course content

автор: Vincent G

9 окт. 2017 г.

fantastic course

автор: Nevon L D

27 сент. 2018 г.

Builds Heavil

автор: Mariano F

12 июня 2016 г.

Great course.

автор: Anup K M

22 окт. 2018 г.

good content