Logistic Regression with R: Categorical Response Variable at Two Levels (2018)

Описание к видео Logistic Regression with R: Categorical Response Variable at Two Levels (2018)

Provides an example of student college application for carrying out logistic regression analysis with R. This is among top 10 must know machine learning methods.
R code and data files: https://github.com/bkrai/Top-10-Machi...
Machine Learning videos: https://goo.gl/WHHqWP

Includes,
- use of a categorical binary output variable
- data partition
- logistic regression model
- prediction
- equation for prediction
- misclassification errors for training and test data
- confusion matrix for training and test data
- goodness-of-fit test

Machine Learning videos: https://goo.gl/WHHqWP
Becoming Data Scientist: https://goo.gl/JWyyQc
Introductory R Videos: https://goo.gl/NZ55SJ
Deep Learning with TensorFlow: https://goo.gl/5VtSuC
Image Analysis & Classification: https://goo.gl/Md3fMi
Text mining: https://goo.gl/7FJGmd
Data Visualization: https://goo.gl/Q7Q2A8
Playlist: https://goo.gl/iwbhnE

R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

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