Tidymodels - The Machine Learning Framework For R

Jumpstart your machine learning journey with the most powerful machine learning framework in the R programming language.

What you'll learn

Start your machine learning journey with the R programming language.

Tune machine learning model hyperparameters using Tidymodels.

Preprocess your data using recipes.

Evaluate and compare multiple machine learning algorithms to deliver the most accurate model.

Requirements

This course assumes a basic level of experience with the R programming language and a general familiarity with machine learning concepts.

This course is designed to help you implement machine learning using the Tidymodels framework in R. This course will NOT teach basic R concepts or the reasoning behind machine learning.

Description

Welcome to Machine Learning With Tidymodels. This course is designed to show you how to use R's fast, flexible, and powerful machine learning framework known as Tidymodels. Tidymodels is the up-to-date successor to the previous caret machine learning package and offers a simple, intuitive way to make your machine learning tasks a breeze. In this course you will learn the most important features offered by Tidymodels includingHow to split data into testing and training setsSave time by preprocessing your data using the recipes functionsCreate workflows to fit models to training data and make predictionsCompare multiple models and preprocessing steps using powerful workflow setsEvaluate the accuracy of your machine learning modelsAutomatically tune your models to deliver optimum predictive performance This course is designed to be an introduction to Tidymodels, so I will provide examples and explanations for all of the topics discussed in the course. Although this course is designed to introduce you to Tidymodels and Machine Learning using R, this is NOT designed to teach you the basics of R or the basics of machine learning. I assume that you have a basic familiarity with both the R programing language and the general concepts of machine learning prior to starting the course. The focus of this course is on showing you how to use the powerful features provided by the Tidymodels package. If you want to learn more about how to simplify your machine learning process using Tidymodels, then this is the course for you! Let's start learning.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Key Concepts of Tidymodeling

Lecture 3 Installing Tidymodels and "Spending Your Data"

Lecture 4 Preprocessing Data Using Recipes

Lecture 5 Creating Machine Learning Model Specifications

Lecture 6 Making Predictions Using Workflows

Lecture 7 Tuning Model Hyperparmeters

Lecture 8 Evaluating Multiple Machine Learning Models with Workflow Sets

Lecture 9 Tuning Multiple Models with Workflow Maps

Lecture 10 Course Conclusion

Anyone seeking to learn more about the Tidymodels machine learning framework used in the R programming language.