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學生對 约翰霍普金斯大学 提供的 回归模型 的評價和反饋

4.4
2,774 個評分
467 個審閱

課程概述

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....

熱門審閱

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 - 回归模型 的 150 個評論(共 447 個)

創建者 Chris W

Nov 27, 2016

Great course.

創建者 Andrew K

Mar 13, 2017

Good foundation in the Data Science Certification for Practical Machine Learning. There are 3 areas that I would like to dig deeper so far: Statistical Inference, Regression Models and Practical Machine Learning (perhaps + Deep Learning).

創建者 Albert C G

Sep 02, 2016

Great - learned a bunch

創建者 BAUYRJAN J

Feb 01, 2017

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

創建者 Farhan M

Feb 26, 2017

Amazing course, I learnt a lot.

創建者 Sai S S

Jul 09, 2017

Thanks much. Good course. Would have loved a tougher final project (eg. using logistic regression). How about adding two variants for all final projects - 1. lots of things to do vs. 2. more technically complex ?

創建者 Berthold J

Jun 24, 2017

Very good lecture and also decent level of difficulties that requires to think/read additional stuff.

創建者 Pragya k

May 22, 2017

Exceptional Learning!

創建者 Andrew V

May 15, 2017

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

創建者 Fernando M

Sep 04, 2017

Love it

創建者 Lawar S V

Apr 19, 2017

Very Good Course !

創建者 Muzaffar H

Oct 14, 2017

A very good data analysis course, highly useful for quantitative method and empirical findings.

創建者 Joonas S

May 29, 2017

Really good introduction to regression models.

創建者 Artem V

May 16, 2017

Complicated but good information!

創建者 Paul F G

Jun 13, 2018

Excellent, highly focused course with current R libraries for learning various regression methods and methodology. I highly recommend this course.

創建者 Handong D B

Aug 15, 2016

very concise and well taught

創建者 Amelia L

Nov 29, 2016

Learned a lot

創建者 Yubo Y

Apr 03, 2016

concise, practical and straight forward

創建者 Mikhail M

Sep 11, 2016

Extremely useful and exciting. Everything from previous modules fall in places and you may see some practical implementations from the course. By the way R is awesome!

Many thanks to faculty, you do a great job.

創建者 Damien C

Dec 06, 2016

Great ressources. Usefull presentations, maybe too rich for a newbie.

It was too fast for me. Could be done in 2x more time :/

創建者 Shubham S Y

Jun 26, 2017

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

創建者 Light0617

Dec 28, 2016

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

創建者 Do H L

Jun 17, 2016

This course gives a very thorough and rigorous treatment to the topic of regression models.

It teaches you how to derive from the ground, how regression models are made and how to interpret every information available through regression models.

Although the lectures are very lengthy and dry, the course offers a very rich well of information that is not readily available else where.

Thanks to Brian Caffo for the wealth of information about regression models taught through this course!

創建者 Priyanka V I

Aug 26, 2017

.

創建者 Pratikchha N

May 31, 2016

great