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

4.4
étoiles
3,073 évaluations
511 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

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 sur 491 Avis pour Modèles de régression

par Kyle H

Apr 02, 2018

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

par N S N

Jan 02, 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

par Sabawoon S

Sep 12, 2017

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

par Rodrigo P

Aug 04, 2017

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

par Bojan B

Oct 14, 2018

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

par 陈颐欢

Jun 30, 2018

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

par Wesley E

Feb 15, 2016

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

par Ayushmaan D V

Aug 04, 2020

This course serves as a great introduction to regression modelling

par Amanyiraho R

Jan 13, 2020

Gives you the best understanding of the roots of regression models

par Illich M

Jun 16, 2017

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

par Ji, L 吉

Sep 28, 2016

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

par john c

Dec 11, 2016

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

par Charbel L

Aug 20, 2019

Very comprehensive introduction to regression models. Well done!

par Laro N P

Jun 19, 2018

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

par Shashikesh M

Jul 27, 2017

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

par Nicholas T

Jun 29, 2020

Great course!

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

par Prakhar P

May 10, 2018

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

par Light0617

Dec 28, 2016

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

par Winston P

Nov 10, 2016

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

par Mario P

Oct 22, 2018

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

par Tine M

May 11, 2018

Definitely a difficult course but a very interesting one.

par Wei L

Oct 12, 2017

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

par Changkeun K

Sep 11, 2017

nice course. it requires knowledge of statistics a lot.

par Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

par 李俊宏

Sep 04, 2017

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