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Includes worked examples in R of the machine learning algorithms covered in the Stanford/DeepLearning Machine Learning Specialisation

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Machine Learning in R

This repository contains worked examples in R of the machine learning algorithms covered in Andrew Ng's Machine Learning Specialization available on Coursera.

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In February 2025 I enrolled into the Machine Learning Specialization on Coursera. The course is jointly offered by Stanford and DeepLearning.ai and the principal instructor is Stanford professor Andrew Ng. It is a great introduction to some of the most commonly used machine learning algorithms. In order for me to fully understand all of the concepts taught in the course, I felt that I needed to work through my own examples. While the course is taught using python, I chose to use R for this exercise, both because it's a language I am more familiar with and because it forces me to think and write the code for myself, rather than copy the code used in the lectures.

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This project is licensed under the CC0 1.0 Universal licence. See the LICENSE file for details.

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Includes worked examples in R of the machine learning algorithms covered in the Stanford/DeepLearning Machine Learning Specialisation

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