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Voltar para Modelos Regressivos

Comentários e feedback de alunos de Modelos Regressivos da instituição Universidade Johns Hopkins

4.4
estrelas
3,249 classificações
557 avaliações

Sobre o curso

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....

Melhores avaliações

KA
16 de Dez de 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
31 de Jan de 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.

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401 — 425 de 537 Avaliações para o Modelos Regressivos

por 桂鹏

15 de Jun de 2017

sufficient depth but explnation is not sufficient in many places

por Piotr K

23 de Out de 2016

Sometimes videos were hard to understand, especially in week 3.

por Alexandros A

8 de Fev de 2016

I expected more in Binomial Regression and Poisson regression

por Yiyang Z

24 de Ago de 2019

Very informative, but could be more interesting and concise.

por Manuel E

3 de Jul de 2019

Hard class, documentation could be better, but good content.

por Alzum S M

8 de Jan de 2019

Very much thank you for teaching me such an awesome course

por Pooia L

13 de Set de 2018

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

por Karthik R

7 de Ago de 2017

Knowledge on Statistics will help in better understanding.

por Luong M Q

16 de Out de 2017

some complicated contents that are hard to fully grasp.

por H Y

8 de Fev de 2017

Content regarding variable selection is kind of rough.

por Camilo Y

14 de Mar de 2017

Great introduction to regression models. Pretty clear

por Madhuri

26 de Out de 2016

prerequisites are very mandatory to do this course

por pulkit k

9 de Jun de 2018

It lacked practical application, not impressed.

por Mitraputra G

14 de Jan de 2017

A little monotonous sometimes. Otherwise good.

por Mehrshad E

18 de Dez de 2017

I found SWIRL more helpful than the lectures.

por Sameen S

1 de Out de 2018

The lectures were a bit complex and lengthy.

por Ankush K

16 de Jan de 2018

really informative with helpful examples.

por Mehul P

3 de Out de 2017

Easy way to understand Regression.

por David E L B

18 de Mai de 2017

Really helpful and well presented.

por Teppakorn

22 de Jun de 2016

Advance topic in regression model.

por Serg C

31 de Out de 2017

Not an easy one, definitely !

=)

por Norman B

7 de Fev de 2016

A decent overview of regression

por Nicolás H

9 de Nov de 2020

Muy buenas herramientas!!

por Manpreet S

23 de Out de 2019

Good Course for beggining

por Daniiar B

27 de Set de 2018

Very hard to understand