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Voltar para Modelos Regressivos

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

4.4
estrelas
3,124 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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126 — 150 de 503 Avaliações para o Modelos Regressivos

por ric j n

Aug 06, 2017

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

por Georgios P

Mar 07, 2019

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

por sneha

Jan 23, 2019

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

por Carlos A R C

Sep 23, 2020

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

por Bruno R S

Mar 05, 2019

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

por Walter T

Dec 08, 2016

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

por Purificación V

Nov 13, 2019

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

por Channaveer P

Oct 12, 2019

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

por Andrew V

May 15, 2017

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

por BAUYRJAN J

Feb 01, 2017

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

por Johan V M

Aug 09, 2020

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

por Sergio A

Dec 31, 2017

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

por Sandhya A

Jun 02, 2018

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

por Christian H

Aug 23, 2017

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

por Roberto D

Jun 21, 2017

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

por Harris P

Dec 19, 2016

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

por Erich F G

Mar 20, 2018

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

por Carlos A C Z

Jan 15, 2018

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

por Raunak S

Nov 10, 2018

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

por Tai C M

Sep 26, 2017

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

por SATHYANARAYANAN S

Sep 11, 2017

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

por Vitalii S

Jul 20, 2017

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

por Joe B

Jan 30, 2016

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

por Jay S

Jul 29, 2016

Very informative and detailed explanation of how regression model works!

por Mayank C

Feb 25, 2016

Very comprehensive course for developing the basics of regression models