Logistic regression : practice.
Dr. Chirag Shah, PhD, explains how R is used to perform logistic regression using the "glm()" function, as well as how to interpret and test the accuracy of the results.
| Other Authors: | Shah, Chirag (Speaker) |
|---|---|
| Format: | Video |
| Language: | English |
| Language Notes: | Closed-captions in English. |
| Published: |
Somerset :
Chirag Shah,
2018.
|
| Series: | Machine Learning for Data Science ;
7. |
| Subjects: | |
| Online Access: | Connect to this streaming video |
Similar Items
Linear regression : practice.
Published: (2018)
Published: (2018)
Implementing linear regression algorithm in R.
Published: (2019)
Published: (2019)
Implementing KNN algorithm in R.
Published: (2019)
Published: (2019)
Semiparametric regression with R /
by: Harezlak, Jaroslaw, et al.
Published: (2018)
by: Harezlak, Jaroslaw, et al.
Published: (2018)
An R and S-Plus companion to applied regression /
by: Fox, John, 1947-
Published: (2002)
by: Fox, John, 1947-
Published: (2002)
Machine learning with R : introduction and regression.
Published: (2018)
Published: (2018)
Learn about ordered logit regression in R with data from the General Social Survey (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Time series analysis.
Published: (2018)
Published: (2018)
Logistic regression.
Published: (2017)
Published: (2017)
Support vector machine (SVM) : practice.
Published: (2018)
Published: (2018)
Estimating the LATE using regression analysis.
Published: (2020)
Published: (2020)
Linear and polynomial regression in Python.
Published: (2021)
Published: (2021)
Linear and nonlinear regression in Python.
Published: (2021)
Published: (2021)
Regression for health and social science : applied linear models with R /
by: Zelterman, Daniel
Published: (2022)
by: Zelterman, Daniel
Published: (2022)
Clustering : practice - k-means.
Published: (2018)
Published: (2018)
Gradient descent : practice.
Published: (2018)
Published: (2018)
Clustering : practice - agglomerative clustering.
Published: (2018)
Published: (2018)
Learn to test for multicollinearity in R with data from the English Health Survey (teaching dataset) (2002) /
by: Jones, Julie Scott, 1966-
Published: (2019)
by: Jones, Julie Scott, 1966-
Published: (2019)
Applied logistic regression.
by: Hosmer, David W.
Published: (2013)
by: Hosmer, David W.
Published: (2013)
Modern applied regressions : Bayesian and frequentist analysis of categorical and limited response variables with R and Stan /
by: Xu, Jun (Professor of Sociology)
Published: (2023)
by: Xu, Jun (Professor of Sociology)
Published: (2023)
Handbook of regression modeling in people analytics : with examples in R and Python /
by: McNulty, Keith
Published: (2021)
by: McNulty, Keith
Published: (2021)
Logistic regression : theory.
Published: (2018)
Published: (2018)
Learn about random forest in Python with data from the Adult Census Income dataset (1996) /
by: Shi, Feng
Published: (2019)
by: Shi, Feng
Published: (2019)
Learn about ordered probit regression in R with data from the General Social Survey (2016) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
Introduction to statistics with R.
Published: (2016)
Published: (2016)
Nonlinear regression in Python.
Published: (2021)
Published: (2021)
Mathematical algorithms for linear regression /
by: Späth, Helmuth
Published: (1992)
by: Späth, Helmuth
Published: (1992)
Complexity and readability measures.
Published: (2017)
Published: (2017)
Working with text files.
Published: (2017)
Published: (2017)
Keywords in context.
Published: (2017)
Published: (2017)
Using R for introductory econometrics /
by: Heiss, Florian, 1973-
Published: (2020)
by: Heiss, Florian, 1973-
Published: (2020)
Introduction to R.
Published: (2018)
Published: (2018)
Wildcarding.
Published: (2017)
Published: (2017)
Advanced analytics with R and Tableau : advanced visual analytical solutions for your business /
by: Stirrup, Jen, et al.
Published: (2017)
by: Stirrup, Jen, et al.
Published: (2017)
Event history analysis with R /
by: Broström, Göran
Published: (2012)
by: Broström, Göran
Published: (2012)
Stochastic Processes with R : an Introduction.
by: Korosteleva, Olga
Published: (2022)
by: Korosteleva, Olga
Published: (2022)
Growth curve analysis and visualization using R /
by: Mirman, Daniel
Published: (2014)
by: Mirman, Daniel
Published: (2014)
Régression avec R /
by: Cornillon, Pierre-André
Published: (2011)
by: Cornillon, Pierre-André
Published: (2011)
Learn about Poisson regression in R with data from the Global Health Observatory (2015) /
by: Shi, Feng, active 2019
Published: (2019)
by: Shi, Feng, active 2019
Published: (2019)
R for non-programmers /
by: Dauber, Daniel
Published: (2025)
by: Dauber, Daniel
Published: (2025)