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Voltar para Modelos Regressivos

Comentários e feedback de alunos de Modelos Regressivos da instituição Universidade Johns Hopkins

4.4
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2,848 classificações
475 avaliações

Sobre o curso

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....

Melhores avaliações

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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451 — 457 de {totalReviews} Avaliações para o Modelos Regressivos

por Adnan B

Aug 13, 2019

This is the whole course that kind of discouraged me persuing data science field... i wish i wish i wish there was different instructor

por Satakarni B

Nov 08, 2016

Not worth it for the bucks.

Instructor has tried his best to make no sense of the subject.

I would be happy for a refund.

por Matt G

Feb 15, 2016

Poorly designed, executed and instructed. Too much is left off the materials.

por Stephen E

Jun 27, 2016

To be honest I don't think this is worth the money.

por Eric T

Feb 21, 2017

Important material, poorly taught.

por Shahryar N

Nov 29, 2018

The course is awfully simplified.

por Vineet J

Jul 30, 2017

not good tutor