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Voltar para Modelos Regressivos

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

4.4
estrelas
2,979 classificações
502 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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151 — 175 de 482 Avaliações para o Modelos Regressivos

por Bojan B

Oct 14, 2018

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

por 陈颐欢

Jun 30, 2018

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

por Wesley E

Feb 15, 2016

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

por Amanyiraho R

Jan 13, 2020

Gives you the best understanding of the roots of regression models

por Illich M

Jun 16, 2017

Tough course! I had to take it a couple of times to understand it.

por Ji, L 吉

Sep 28, 2016

I really learned some useful knowledge and codes from this course!

por john c

Dec 11, 2016

Hard but rewarding work that I think is perfect for Data Science.

por Charbel L

Aug 20, 2019

Very comprehensive introduction to regression models. Well done!

por Laro N P

Jun 19, 2018

More examples and exercises wil be better but is a great course.

por Shashikesh M

Jul 27, 2017

One of the most required skill set in the field of data science.

por Nicholas T

Jun 29, 2020

Great course!

Lot's of effort put in by the lecturers. Thank you

por Prakhar P

May 10, 2018

The concepts are explained in a very concise and crisp manner.

por Light0617

Dec 28, 2016

great courses!!! very practical but no a lot of mathemetics

por Winston P

Nov 10, 2016

Good course! Prof Caffo is very clear in his explanations!

por Mario P

Oct 22, 2018

I would like to thank all of you for this excellent work!

por Tine M

May 11, 2018

Definitely a difficult course but a very interesting one.

por Wei L

Oct 12, 2017

A lot of good info. Some of them is a little hard to me

por Changkeun K

Sep 11, 2017

nice course. it requires knowledge of statistics a lot.

por Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

por 李俊宏

Sep 04, 2017

I like Brian Caffo's lectures. He is genius and calm

por David R

Dec 05, 2018

Great course, well taught with very useful examples

por Javier E S

Jul 16, 2018

Excellent course. Thank you Brian, Jeff and Roger.

por Jose F V G

Dec 23, 2018

So far so good; key concepts explained in detail.

por Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

por Robert H

Dec 01, 2015

A few glitches, but excellent like all the other