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Artificial Intelligence #2: Polynomial & Logistic Regression-P2P

Regression techniques for students and professionals. Learn Polynomial & Logistic Regression and code them in python
In statistics, Logistic Regression, or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical. This article covers the case of a binary dependent variable—that is, where the output can take only two values, “0″ and “1″, which represent outcomes such as pass/fail, win/lose, alive/dead or healthy/sick. Cases where the dependent variable has more than two outcome categories may be analysed in multinomial logistic regression, or, if the multiple categories are ordered, in ordinal logistic regression. In the terminology of economics, logistic regression is an example of a qualitative response/discrete choice model.

Artificial Intelligence #2: Polynomial & Logistic Regression-P2P
MP4 | Video: AVC 1280×720 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | Lec: 20 | 222 MB
Genre: eLearning | Language: English
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    August 2nd, 2018 | 07:12
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