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Voltar para Modelos Regressivos

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

4.4
estrelas
3,165 classificações
529 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

MM
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.

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.

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126 — 150 de 510 Avaliações para o Modelos Regressivos

por Guilherme B F

22 de Mar de 2018

Really good. Easy to follow and great even if you just need a refresher in regression models.

por Arcenis R

18 de Jan de 2016

This course is packed with great lessons and Prof. Caffo puts it all together very cogently.

por ric j n

6 de Ago de 2017

The course is comprehensive in its presentation. Ideas can be easily grasp and replicated.

por Georgios P

7 de Mar de 2019

Great course for beginners, but definitely not for people with no mathematical background!

por sneha

23 de Jan de 2019

Amazing course ! finally I have learned how to implement regression in real world analysis

por Carlos A R C

23 de Set de 2020

Excellent course. Best of all the Data Science specialization. Good, very good professor.

por Bruno R S

4 de Mar de 2019

A deep review on linear, logistic and regression models. The critical tool for modelling.

por Walter T

8 de Dez de 2016

A well defined learning path to understand the fundation of machine learning techniques.

por Purificación V

13 de Nov de 2019

Es un gran curso para aprender, junto con el resto de los cursos de la especialización.

por Channaveer P

12 de Out de 2019

Amazing course... good learning experience. Very useful for my role in my Organization.

por Juan P L R

26 de Nov de 2020

Great introduction to regression models, and its application in R. Highly recommended.

por Andrew V

14 de Mai de 2017

Nicely presented and understandable course with a challenging an interesting project.

por BAUYRJAN J

31 de Jan de 2017

Excellent course, but you have to use other materials from different courses as well.

por Johan V M

9 de Ago de 2020

Excellent course! I am totally looking forward to learn a lot more on this subject.

por Sergio A

31 de Dez de 2017

We learn some basic econometrics in this class and how to do basic regression mdels

por Sandhya A

2 de Jun de 2018

Learned a lot about various regression model, concept like fitting and overfitting

por Christian H

22 de Ago de 2017

Great course; practical introduction to regression models at the university level.

por Roberto D

21 de Jun de 2017

Concepts explained and illustrated very well to understand how variables differ.

por Harris P

19 de Dez de 2016

Was tough but thoroughly had fun completing it. Its a cleverly designed course.

por Erich F G

20 de Mar de 2018

Challenging course. Brought back memories of graduate school in the early 90s

por Carlos A C Z

15 de Jan de 2018

This was a good course. I learn a lot making the final Project of the course

por Raunak S

10 de Nov de 2018

a very good course before digging deeper into Data Science advanced topics.

por Tai C M

26 de Set de 2017

This course is not as tough as the statistics class. Easier to understand.

por SATHYANARAYANAN S

10 de Set de 2017

Very good for anyone wanting to get into the field of Data Science using R

por Vitalii S

20 de Jul de 2017

I liked this course, but I would like that last task be more complicated.