Logistic Regression with R: Categorical Response Variable at Two Levels (2018)
Автор: Dr. Bharatendra Rai
Загружено: 2017-10-09
Просмотров: 98106
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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