Quick Guide: Regression Pipeline with R & tidymodels

Quick Guide: Regression Pipeline with R & tidymodels

Build a dynamic Machine Learning Pipeline which you can use in Data Science and Data Analysis Frameworks

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

Requirements

  • R programming
  • Machine Learning
  • tidyverse

Description

Hi,
in this course you are going to get a quick introduction into the fascinating world of building predictive models using tidymodels. This course guides you through important packages of tidymodels to empower you to build a 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
  • Who want to build a regression model using R
  • You need a quick and dense introduction into pipelines

Last updated: 9/2021 | Size: 851 MB
Click to get:
Source: https://www.udemy.com/course/pipeline-tidymodels/


Practical Linear Regression in R for Data Science in R
Practical Linear Regression in R for Data Science in R
07.04.2021
Face Recognition Web App with Machine Learning in Flask
Face Recognition Web App with Machine Learning in Flask
06.20.2021
Data Science In R: Be An Expert In Regression Analysis In R
Data Science In R: Be An Expert In Regression Analysis In R
07.19.2021
HYPERPARAMETER OPTIMIZATION FOR MACHINE LEARNING
HYPERPARAMETER OPTIMIZATION FOR MACHINE LEARNING
06.09.2021

No comments.

Add Commenent
reload, if the code cannot be seen

or
Registration
Lostpassword