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Voltar para Modelos Regressivos

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

4.4
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3,124 classificações
523 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

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.

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351 — 375 de 503 Avaliações para o Modelos Regressivos

por Federico A V R

Sep 14, 2017

Would love to see more hands on practical explanations rather tan mostly slides.

Content is great though!

por Brian F

Aug 16, 2017

This a challenging course, overall I think it was good, but the material could be a bit better presented.

por Chonlatit P

Aug 19, 2018

Love this course. teach me to understand Linear Regression more, especially swirl class is great.

por Shakti P S

Feb 29, 2016

Good course. Prof. Caffo is a great teacher! Hope to see an advanced version of RegMods soon!

por Freddie K

Jul 09, 2017

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

por Billy J

Apr 07, 2016

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

por B S

Jul 02, 2018

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

por Nigel M

Sep 18, 2017

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

por Luiz E B J

Nov 26, 2019

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

por Deleted A

Mar 11, 2019

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

por Andrea S

Feb 25, 2017

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

por Abrahan G U Ñ

Feb 11, 2016

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

por Daniel J R

Dec 19, 2018

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

por Ravi V

Oct 12, 2018

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

por César A C

Feb 03, 2018

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

por Scipione S

Jul 14, 2020

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

por Marijus B

Apr 28, 2020

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

por BIBHUTI B P

Jul 24, 2017

Wonderful experience of assimilating the techniques and tricks in this mod

por Sudheer P

Dec 28, 2016

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

por Koen V

Sep 23, 2019

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

por Humberto R

Feb 13, 2018

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

por Mingda W

Jun 05, 2018

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

por antonio q

Mar 21, 2018

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

por Hariharan D

Sep 11, 2017

Intuitive course, liked it. Technical equations are challenging.

por 桂鹏

Jun 15, 2017

sufficient depth but explnation is not sufficient in many places