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Supervised Learning - English

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Outline:
Supervised Learning

About Machine Learning and its types.
About iris species and its measurement parameters.
Load the iris dataset and libraries.
How to pose a Machine Learning problem?
About supervised learning and its types. 
About Naive Bayes classifier.
Use the test set to evaluate the performance of the model.
Train a classification model with a Naive Bayes classifier. 
Confusion matrix and its use.
Check the accuracy using True positive and True negative values.
Width:878 Height:644
Duration:00:13:11 Size:6.1 MB

Show video info

Pre-requisite

Introduction to basics of R

Code files

  • Supervised-Learning-Codefiles/
  • Supervised-Learning-Codefiles/irisModel.R
  • Supervised-Learning-Codefiles/iris.csv
  • Supervised-Learning-Codefiles/.Rhistory

Script

Slides

  • Supervised-Learning-Slides/
  • Supervised-Learning-Slides/Supervised_Learning.tex
  • Supervised-Learning-Slides/Supervised_Learning.pdf
  • Supervised-Learning-Slides/iris-species.png
  • Supervised-Learning-Slides/iris_petal-sepal.png
  • Supervised-Learning-Slides/fossee-logo.png
  • Supervised-Learning-Slides/St-logo.png

  Additional reading material