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Voltar para Modelos Regressivos

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

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3,238 classificações
553 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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376 — 400 de 533 Avaliações para o Modelos Regressivos

por Freddie K

9 de Jul de 2017

Really good! All the pieces from the previous courses start to come together into a whole.

por Billy J

7 de Abr de 2016

Videos were very difficult to follow along with. Overall, I learned a good amount though.

por Andrea G

10 de Jan de 2021

A very good and comprehensive introduction to Regression Models with practical exercises.

por B S

2 de Jul de 2018

Nice course. It would however be better to include a summary how to approach an analysis.

por Nigel M

18 de Set de 2017

Good introduction to regressions and the process of applying regression analysis to data.

por Luiz E B J

26 de Nov de 2019

The content is to long, maybe would be interesting split the content in other modules.

por Deleted A

11 de Mar de 2019

Great course, but please check those subtitles that are occasionally completely off!

por Andrea S

25 de Fev de 2017

Very good material but often too fragmentend/messy. The notes would need re-writing.

por Abrahan G U Ñ

10 de Fev de 2016

It is a great introductory course into Regression analysis. I highly recommend it!

por Daniel J R

19 de Dez de 2018

Quite practical. It does encourage one to follow-up with a more advanced course.

por Ravi V

12 de Out de 2018

Overall a good course. But I was expecting more in depth covering of the topics.

por César A C

3 de Fev de 2018

Un curso bastante completo, aunque un pondría más ejemplos en la sección de GLM.

por Scipione S

14 de Jul de 2020

I suggest to revie some videos. There is some repetition, especially in week 3.

por Marijus B

28 de Abr de 2020

swirl exercises needs to be fixed, could not complete it because of the bug

por BIBHUTI B P

24 de Jul de 2017

Wonderful experience of assimilating the techniques and tricks in this mod

por Sudheer P

28 de Dez de 2016

This is a great course. The content clearly explains the regression model.

por Koen V

23 de Set de 2019

The explanation of the right answers from the quiz were quite handy!

por Humberto R

13 de Fev de 2018

Great course. My prefered so far in the data science specialization

por Mingda W

5 de Jun de 2018

Great, but need more examples and projects to practice the skills.

por antonio q

21 de Mar de 2018

to me the more challenging course, well done though, thanks a lot

por Hariharan D

11 de Set de 2017

Intuitive course, liked it. Technical equations are challenging.

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.