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Opiniones y comentarios de aprendices correspondientes a modelos de regresión por parte de Universidad Johns Hopkins

4.4
estrellas
3,289 calificaciones
565 reseña

Acerca del 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....

Principales reseñas

KA
16 de dic. 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.

DA
10 de mar. de 2019

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

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151 - 175 de 546 revisiones para modelos de regresión

por Sergio A

31 de dic. 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 dic. 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 ene. 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 Zhiming

26 de sep. de 2017

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

por SATHYANARAYANAN S

10 de sep. 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.

por Joe B

30 de ene. de 2016

Great course with a thorough introduction to regression and linear model.

por Jay S

29 de jul. de 2016

Very informative and detailed explanation of how regression model works!

por Mayank C

25 de feb. de 2016

Very comprehensive course for developing the basics of regression models

por Mateo C T

11 de feb. de 2021

Excellent course, gives the necessary inputs to start in this matter.

por Shubham S Y

26 de jun. de 2017

Good for clearing out your basic Regression doubts and that too in R!

por Kyle H

2 de abr. de 2018

A great, quick treatment of the major touch points of linear models.

por N S N

2 de ene. de 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

por Sabawoon S

12 de sep. de 2017

Excellent course, it could be improved with more practical examples.

por Rodrigo P

3 de ago. de 2017

Very interesting topics and discussions, but not easy to understand.

por Bojan B

14 de oct. de 2018

Great course with great materials. Easy to understand and to learn.

por 陈颐欢

29 de jun. de 2018

Basic idea about regression , it's very useful for beginner like me

por Wesley E

15 de feb. de 2016

Great introduction and plenty of resources for more in depth study.

por Ayushmaan D V

4 de ago. de 2020

This course serves as a great introduction to regression modelling

por Amanyiraho R

13 de ene. de 2020

Gives you the best understanding of the roots of regression models