Voltar para Modelos Regressivos

4.4

2,775 classificações

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467 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 Georgios P

•Mar 07, 2019

Great course for beginners, but definitely not for people with no mathematical background!

por Pedro C D

•Nov 15, 2018

Impressive! Very detailed in statistics and Mathematics, I would like an extensive course in logistic regression, it was short compared with lm course.

por Ignacio O

•Jul 30, 2018

Excellent course!

I learned a lot of techniques and understood the basics of Regression Models.

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 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 Ji, L 吉

•Sep 28, 2016

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

por Winston P

•Nov 10, 2016

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

por Roberto D

•Jun 21, 2017

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

por Mayank C

•Feb 25, 2016

Very comprehensive course for developing the basics of regression models

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 Kai W P

•Nov 05, 2016

Very good.

por Jaime A

•Oct 12, 2016

Very well thought-out!

por Alexis C

•Aug 11, 2017

Regression analysis is something that is kind of easy for people to understand (outcome and predictor - people get that!). It's easy to explain to people. So much practice using the lm function!

por Venkatesh

•Jul 08, 2017

Very useful

por Ioannis B

•Aug 01, 2017

Exceptional course for the subject of Regression. You can really understand the foundations and build on it with R. Congratulations to the instructors and the team.

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 E. M

•May 12, 2016

Very relevant!

por Carlos

•Feb 25, 2016

This class, along with "Statistical Inference" and "Machine Language" , are the meat and potato's for data science. I had taken most, if not all of these classes as an undergrad many years ago . The tools for stats have changed significantly and these classes being taught with the open source R language, really put you at the forefront of this new field.

por Kevin

•Jul 08, 2016

Very concise and good structured course. The new videos are much better than the old ones! Thank you Brian Caffo! However in the discussion forum you find less posts than in the previous format, which is a pitty.

por Felipe L

•Jan 23, 2016

Excellent introductory course!

por Noelia O F

•Jul 19, 2016

Great course!

por João P S

•Nov 03, 2016

Very good course

por Sebastian R

•Sep 19, 2017

Just wonderful!

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