Voltar para Modelos Regressivos

4.4

2,662 classificações

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449 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 Kai W P

•Nov 05, 2016

Very good.

por Charles-Antoine d T

•Oct 29, 2017

amazing

por Kristin A

•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.

por Jaime A

•Oct 12, 2016

Very well thought-out!

por Francisco J D d S F G

•Nov 03, 2016

Love the whole course approach on the importance of linear models and how one should interpret them to get a better grasp of the data one possesses - one should definitely take the statistical inference course before attempting this course beforehand.

por Anang H M A

•Nov 21, 2017

Great course.

por Walter T

•Dec 08, 2016

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

por Hernan D S P

•May 19, 2018

This course is perfect to get started with Regression Models in R! I think you would need some familiarity with the statistical concept though.

por Rodney A J

•Jul 30, 2017

This was a great course.

por Winston P

•Nov 10, 2016

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

por Lakshman Y

•Jul 18, 2017

This is a fantastic course for new learners of regression models. I have seen so many courses which charges more money but the content and rich knowledge JHU has shared here is great. I highly recommend new people for this course

por Lowell R

•Oct 07, 2016

Excellent overview of a very broad and complex topic with plenty of useful applications within R. The course project does an outstanding job at teaching the pitfalls of omitted variable bias.

por Ji, L 吉

•Sep 28, 2016

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

por Irene R

•Apr 24, 2018

Very good course, i learnt a lot. Looking forward to take more advanced courses on regression models.

por Stefan S

•Mar 04, 2016

Not the easiest course, but very rewarding if you hang in there. The material is very well explained with ample examples.

por Dale H

•May 24, 2018

I felt I had to do a lot of investigation and research into the course topics on my own.... the material is not fed to you spoonful by spoonful. But coming at it this way, I learned a lot. The more effort you invest in this course, the bigger the payoff. The knowledge gained in this course has tremendous value in the data science workplace.

por Mayank C

•Feb 25, 2016

Very comprehensive course for developing the basics of regression models

por Guilherme B F

•Mar 22, 2018

Really good. Easy to follow and great even if you just need a refresher in regression models.

por Illich M

•Jun 16, 2017

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

por Sudarshan D

•Feb 08, 2016

Great Course

por Jay S

•Jul 29, 2016

Very informative and detailed explanation of how regression model works!

por Wesley E

•Feb 15, 2016

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

por Camilla J

•Jan 04, 2018

The best course in my mind, but I am chocked about how Data Science people approach regression type of problems, it is almost 100% data mining and no theory!! I wonder where it will take us..

por Anuj P

•May 23, 2017

Awesome course. Handling a complex topic in a very lucid manner. However, be prepared of finishing in more than 1 class because it will really take time to grasp the concepts especially if you are not from statistical background. Great job Brian.

por Craig S

•Dec 31, 2017

Very Good!

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