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Introduction to Machine Learning in R


Introduction to Machine Learning in R | Get Udemy Course

An Introduction to Machine Learning with R. Laurent Gatto. 2020-02-28. Chapter 1 Preface. This course material is aimed at people who are already familiar with ...

What you'll learn

  • Understand the basics of neural networks
  • Get a good grasp of machine learning fundamentals
  • Learn the basics of R
  • Learn the basics of machine learning techniques


  • No prior programming knowledge is needed


This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very good guess about stock prices movement in the market.

Section 1:

  • R basics

  • data visualization

  • machine learning basics

Section 2:

  • linear regression and implementation

Section 3:

  • logistic regression and implementation

Section 4:

  • k-nearest neighbor classifier and implementation

Section 5:

  • naive bayes classifier and implementation

  • support vector machines (SVMs)

Section 6:

  • tree based approaches

  • decision trees

  • random forest classifier

Section 7:

  • clustering algorithms

  • k means clustering and hierarchical clustering

  • boosting

Section 8:

  • neural networks in R

  • feedforward neural networks and its applications

  • credit scoring with neural networks

Thanks for joining the course, let's get started!

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