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.
Data: https://goo.gl/VEBvwa
R File: https://goo.gl/PdRktk
Machine Learning videos: https://goo.gl/WHHqWP
Github: https://github.com/bkrai/Top-10-Machine-Learning-Methods-With-R
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.

Видео Logistic Regression with R: Categorical Response Variable at Two Levels (2018) канала Dr. Bharatendra Rai