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Avis et commentaires pour d'étudiants pour Modèles de régression par Université Johns-Hopkins

3,202 évaluations
540 avis

À propos du cours

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....

Meilleurs avis

16 déc. 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.

31 janv. 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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126 - 150 sur 520 Avis pour Modèles de régression

par Guilherme B F

22 mars 2018

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

par Arcenis R

18 janv. 2016

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

par ric j n

6 août 2017

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

par Georgios P

7 mars 2019

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

par sneha

23 janv. 2019

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

par Carlos A R C

23 sept. 2020

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

par Bruno R S

4 mars 2019

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

par Walter T

8 déc. 2016

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

par Purificación V

13 nov. 2019

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

par Channaveer P

12 oct. 2019

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

par Juan P L R

26 nov. 2020

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

par Andrew V

14 mai 2017

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


31 janv. 2017

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

par Johan V M

9 août 2020

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

par Sergio A

31 déc. 2017

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

par Sandhya A

2 juin 2018

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

par Christian H

22 août 2017

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

par Roberto D

21 juin 2017

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

par Harris P

19 déc. 2016

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

par Erich F G

20 mars 2018

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

par Carlos A C Z

15 janv. 2018

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

par Raunak S

10 nov. 2018

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

par Tai C M

26 sept. 2017

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


10 sept. 2017

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

par Vitalii S

20 juil. 2017

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