ML Crash Course R Programming Exercises

Welcome! In this library we have the R programming exercises for the ML Crash Course.

These notebooks contains the programming exercises used in the ML Crash Course. While you could explore the examples without following the tutorial, it's strongly recommended that you follow along with the course on Microsoft Learn.

Getting started

If you aren't already completing ML Crash Course you can visit the learning path.

Setting up Azure Notebooks

Go to Azure Notebooks projects.
Click on Upload GitHub Repo.
Click on the "GitHub repository" box and paste in MicrosoftDocs/ms-learn-ml-crash-course-R.
Click the Import button.

Troubleshooting

Below are some common issues and their solutions when completing the exercises in this Azure Notebooks.

Links to the exercises don't work

The links to the exercises on MS Learn assume you have set up your library, and kept the library ID as 'ms-learn-ml-crash-course-R' - if you haven't then the links won't work.

Solution

Click here to go to your libraries
Right clicking on your library and select Settings
Change the Library ID back to ms-learn-ml-crash-course-R.

You can also just go to your library and right click the programming exercise you wish to do and click 'Run'

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Data		Data
Models		Models
.gitignore		.gitignore
01. Introduction to Jupyter Notebooks and Data - R.ipynb		01. Introduction to Jupyter Notebooks and Data - R.ipynb
02. Linear Regression - R.ipynb		02. Linear Regression - R.ipynb
03. Multiple Linear Regression - R.ipynb		03. Multiple Linear Regression - R.ipynb
04. Polynomial Regression - R.ipynb		04. Polynomial Regression - R.ipynb
05. Logistic Regression - R.ipynb		05. Logistic Regression - R.ipynb
06. Support Vector Machines - R.ipynb		06. Support Vector Machines - R.ipynb
07. Advanced SVMs - R.ipynb		07. Advanced SVMs - R.ipynb
08. Neural Networks Introduction - R.ipynb		08. Neural Networks Introduction - R.ipynb
09. Neural Networks Advanced - R.ipynb		09. Neural Networks Advanced - R.ipynb
10. Convolutional Neural Networks - R.ipynb		10. Convolutional Neural Networks - R.ipynb
11. Recurrent Neural Networks - R.ipynb		11. Recurrent Neural Networks - R.ipynb
12. Clustering - R.ipynb		12. Clustering - R.ipynb
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
LICENSE		LICENSE
README.md		README.md
SECURITY.md		SECURITY.md

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MicrosoftDocs/ms-learn-ml-crash-course-R

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ML Crash Course R Programming Exercises

Getting started

Setting up Azure Notebooks

Troubleshooting

Links to the exercises don't work

Solution

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