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존스홉킨스대학교의 Regression Models 학습자 리뷰 및 피드백

4.4
별점
3,030개의 평가
508개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Regression Models의 488개 리뷰 중 126~150

교육 기관: Bruno R S

Mar 05, 2019

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

교육 기관: Walter T

Dec 08, 2016

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

교육 기관: Purificación V

Nov 13, 2019

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

교육 기관: Channaveer P

Oct 12, 2019

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

교육 기관: Andrew V

May 15, 2017

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

교육 기관: BAUYRJAN J

Feb 01, 2017

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

교육 기관: Johan V M

Aug 09, 2020

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

교육 기관: Sergio A

Dec 31, 2017

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

교육 기관: Sandhya A

Jun 02, 2018

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

교육 기관: Christian H

Aug 23, 2017

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

교육 기관: Roberto D

Jun 21, 2017

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

교육 기관: Harris P

Dec 19, 2016

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

교육 기관: Erich F G

Mar 20, 2018

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

교육 기관: Carlos A C Z

Jan 15, 2018

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

교육 기관: Raunak S

Nov 10, 2018

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

교육 기관: Tai C M

Sep 26, 2017

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

교육 기관: SATHYANARAYANAN S

Sep 11, 2017

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

교육 기관: Vitalii S

Jul 20, 2017

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

교육 기관: Joe B

Jan 30, 2016

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

교육 기관: Jay S

Jul 29, 2016

Very informative and detailed explanation of how regression model works!

교육 기관: Mayank C

Feb 25, 2016

Very comprehensive course for developing the basics of regression models

교육 기관: Shubham S Y

Jun 26, 2017

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

교육 기관: Kyle H

Apr 02, 2018

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

교육 기관: N S N

Jan 02, 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

교육 기관: Sabawoon S

Sep 12, 2017

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