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Logistic Regression using R - English

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Outline:
Logistic Regression using R.

About Logistic Regression.
Practical applications of Logistic Regression.
Implementation of Logistic Regression in R.
Install stats4, splines, VGAM libraries.  
Split the dataset into training and testing datasets.
Predict the output classes from test data.
Measure the accuracy of the model.
Calculates the probability of each iris class for each test data entry. 
Create a logistic regression model. 
Drawbacks of Logistic Regression.
Width:892 Height:670
Duration:00:07:45 Size:3.4 MB

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Pre-requisite

Quadratic Discriminant Analysis in R

  Assignment

Code files

  • Code-Files-Logistic- Regression/
  • Code-Files-Logistic- Regression/.Rhistory
  • Code-Files-Logistic- Regression/LogisticRegression.R

Script

Slides

  • Slides-Logistic- Regression/
  • Slides-Logistic- Regression/St-logo.png
  • Slides-Logistic- Regression/Logistic Regression.tex
  • Slides-Logistic- Regression/Logistic Regression.pdf
  • Slides-Logistic- Regression/fossee-logo.png