glm-project

Car Price and Heart Failure prediction using Generalized Linear Models (GLMs)

https://github.com/hh197/glm-project

Science Score: 18.0%

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Keywords

generalized-linear-models logistic-regression regression regression-models

Last synced: 6 months ago · JSON representation ·

Repository

Car Price and Heart Failure prediction using Generalized Linear Models (GLMs)

Basic Info

Host: GitHub
Owner: HH197
License: mit
Language: R
Default Branch: main
Homepage:
Size: 3.54 MB

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Topics

generalized-linear-models logistic-regression regression regression-models

Created about 4 years ago · Last pushed over 3 years ago

Metadata Files

Readme License Citation

The Generalized Linear Models' course project

Generalized Linear Models (GLMs) are the extension of the ordinary linear regression models. GLMs enable us to use different distributions for the response with distinctive link functions.

Here, we used two different data sets to show the broad applications of the GLMs in real-world problems, one of which is the "Car Price Prediction", and the other is "Heart Failure prediction".

In our analyses, we focused on model fitting and highlighting the statistically significant variables. For a detailed description of our analyses along with results, please see the report document. In both of these studies, all analyses were performed using the R programming language.

The R and RMarkdown files related to the project is deposited in this repo.

Owner

Name: Hamid Hamidi
Login: HH197
Kind: user
Location: Calgary, Canada

Repositories: 2
Profile: https://github.com/HH197

ML Researcher | Mathematics and Statistics M.Sc. student at the University of Calgary

Citation (citation_style.csl)

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    <title>Annals of Mathematics and Artificial Intelligence</title>
    <title-short>Ann Math Artif Intell</title-short>
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    <issn>1012-2443</issn>
    <eissn>1573-7470</eissn>
    <updated>2014-05-15T12:00:00+00:00</updated>
    <rights license="http://creativecommons.org/licenses/by-sa/3.0/">This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 License</rights>
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