Crash Course: Machine Learning Pipeline and API using R
Learn how to build a regression pipeline using tidymodels in R. Get a quick and dense introduction to pipelines and tune hyperparameters. Perfect for those wanting to learn tidymodels and build a regression model in R.
What you’ll learn
- Build a regression pipeline with R using tidymodels
- Make your analysis available through plumber
- Make predictions on a new data set using your trained model
- Visualize cross validation results
- Learn how to render a rmarkdown document as html with parameters
- Learn how to tune hyperparameters using tidymodels
Hi,
in this course you are going to get a quick introduction into the fascinating world of building predictive models in R using tidymodels. This course guides you through important packages of tidymodels to empower you to build an automatic regression pipeline, which you can use to tune a model for your own data set. I will introduce you to tidymodels and show you how you can build a simple API using plumber.
We discover the important packages together. After each video in the first chapter you will solve short quizzes to deepen your knowledge. Step by step you will learn the important parts to build a regression pipeline.
In the second chapter we will finally build the pipeline, which you can customize to your specific needs. We will make the pipeline available through plumber.
This course is pretty dense in nature, but I believe that it is a very good starting point for you, since you will be able to build upon the material provided to you.
I assume that you are familiar with R, tidyverse principles and the basics of machine learning. But even If you are a complete beginner, I think that this course can be valuable to you.
I am looking forward seeing you in the course,
Sincerely Moritz
Who this course is for:
- You want to learn tidymodels
- You want to build a regression model using R
- You need a quick and dense introduction into pipelines
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