Voltar para Modelos Regressivos

4.4

2,794 classificações

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470 avaliações

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....

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.

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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por Laro N P

•Jun 19, 2018

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

por 20e

•Aug 06, 2018

Helpful!

If there is more introduction about the common problems people may encounter during working in the real world, the course will be better!

por Harland H

•Aug 11, 2018

Good course!

por Bojan B

•Oct 14, 2018

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

por Shashwat K

•Oct 15, 2018

goof course.

por 刘晶

•Sep 14, 2018

Very excellent course

por Omar m m

•Sep 20, 2018

excellence

por Steffen R

•Oct 06, 2018

I found this part of the course one of the hardest. But at the same time, probably the best course about linear regression I have ever seen. Is it difficult? Yes! Is it super exciting? Well... :) not necessarily. But I have come back to these course materials many times for a good reason. It's what you need to understand and use all the time. It is the absolute essential and necessary to know for any data scientist. While it might appear to be boring and basic compared to fancy deep learning models... trust me. It's not. It goes a long way in understanding what can be done with data. I am very grateful to the course instructors that they have spent their time and effort to make this course what it is. Please keep up the good work!

por Dror D

•Oct 05, 2018

Good

por Mario P

•Oct 22, 2018

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

por ritesh k

•Oct 21, 2018

fantastic course with great teacher

por Terry L J

•Nov 02, 2018

Good material and presentation

por Sirsendu S

•Aug 30, 2018

Lot of learning , a must take course

por Carlos A D V

•Jul 26, 2018

The best course of the Data Science Specilization until now and by far. Very practical and useful!

por Javier E S

•Jul 16, 2018

Excellent course. Thank you Brian, Jeff and Roger.

por Samer A

•Jul 10, 2018

Great Course. Brian Caffo has a way to explain regression without sinking deep into hard math. You obviously need to walk the extra mile and search for yourself, but the course definitely gives you the map.

por Rodrigo O

•Apr 16, 2019

great

por MEKIE Y R K

•May 02, 2019

Really interesting and full of advices.

But would like to dig more into the Logistic and poisson regression residuals explanations :)

por YANAN D

•May 24, 2019

Really Helpful

por Nino P

•May 24, 2019

Similarly to statistical inference, this is a bit harder course in the specialization. Still passable and recommendable.

por Alán G B

•May 28, 2019

It is an excellent initial approach to Regression Models. I was able to apply some of the models in my work. Further analysis of the mathematical and statistical theory is highly recommended.

por Jorge B S

•Jun 20, 2019

I have loved this introductory course about Regression. The swirl exercises are especially useful to revise the course content and apply the theory.

por Xiaole Z

•Jul 26, 2019

helpful!

por Alimohammad P

•Aug 11, 2019

Very informative course!

por Ravi K

•Jun 12, 2019

This is really a nice training

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