Create Machine Learning Models with R and Tidymodels - new learning path on MS Learn
Published May 19 2022 07:41 AM 1,562 Views
Microsoft

Looking to embark on a new adventure in data science using the R language? Wishing to learn the foundations of machine learning while R-ing your way through? 

 

If you answered yes to one of these questions, we have great news for you. We are pumped to announce a new exciting MS Learn Learning Path designed for ML and R beginners: Create Machine Learning Models with R and Tidymodels.

R is one of the most popular programming languages for data scientists and a great place to start your data science journey, thanks to its extensive set of packages provided for performing data wrangling, data visualization, statistical modelling, machine learning and an amazing, welcoming community.

The learning path is structured into 4 modules :

 

1. Explore and Analyze Data with R

explore-analyze-data-r-social.pngIn this module you will learn:

  • Common data exploration and analysis tasks;
  • How to use R packages such as ggplot2, dplyr, and tidyr to extract insight and knowledge from raw data.

2. Introduction to regression models by using R and Tidymodels  

introduction-regression-models-social.pngIn this module you will learn:

  • When to use regression models.
  • How to preprocess, tune, train and evaluate regression models using the Tidymodels framework.

3. Introduction to classification models by using R and Tidymodels  

introduction-classification-models-social.pngIn this module you will learn:

  • When to use classification.
  • How to preprocess, tune, train and evaluate classification models using the Tidymodels framework.

4. Introduction to clustering models by using R and Tidymodels

introduction-clustering-models-social.pngIn this module you will learn:

  • When to use clustering models.
  • How to perform clustering using the Tidymodels fRiends (R packages outside tidymodels).

These learn modules combine introductions to theoretical concepts with exercise units showing their practical applications. They also provide you with quizzes and hands-on challenges that you can use to put your knowledge into test and autograde yourself. They make no assumptions about previous education (other than a light familiarity with basics mathematics and coding concepts).


This Learning path has been produced in partnership with Eric Wanjau - Microsoft Learn Student Ambassadors and and Researcher/Data scientist: Leeds Institute for Data Analytics at the University of Leeds - as a response to the academic field and R community demand of integrating R content to MS Learn portfolio.

We hope you will enjoy it and we wish you happy learning adventure! 

 

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