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Voltar para Modelos Regressivos

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

3,190 classificações
537 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

12 de Mar de 2018

Great course, very informative, with lots of valuable information and examples. Prof. Caffo and his team did a very good job in my opinion. I've found very useful the course material shared on github.

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.

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376 — 400 de 518 Avaliações para o Modelos Regressivos

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


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.

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 Hang 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.