Introduction to Machine Learning in R - English

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Outline:
About Machine Learning.
Types of Machine learning-Supervised learning, Unsupervised learning, Semi-supervised learning and Reinforcement learning. 
Classification and Regression techniques.
Workflow of an ML Classifier algorithm.
General steps of a classification machine learning algorithm.
Use the dataset with chosen variables.
Visualizing Feature Space and the partition line using ggplot2.
Performing Train-test split.
Construction of a dummy classifier.
Evaluation of an ML algorithm.
Width:856 Height:642
Duration:00:13:58 Size:12.3 MB

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Pre-requisite

Introduction to ggplot2

  Assignment

Code files

  • CodeFiles-Intro/
  • CodeFiles-Intro/Intro.R
  • CodeFiles-Intro/Raisin.xlsx

Script

Slides

  • Slides-Introduction-to-Machine-learning-in-R/
  • Slides-Introduction-to-Machine-learning-in-R/St-logo.png
  • Slides-Introduction-to-Machine-learning-in-R/Introduction.tex
  • Slides-Introduction-to-Machine-learning-in-R/fossee-logo.png
  • Slides-Introduction-to-Machine-learning-in-R/Introduction.pdf

  Additional reading material