Create machine learning models with R and tidymodels 

Introduction

Exploratory data analysis

Exercise - Transform data by using dplyr

Visualize your data

Exercise - Visualize your data by using ggplot2

Examine real-world data

Exercise - Examine real-world data

Knowledge check

Challenge - Data exploration

Summary

Introduction

What is regression?

Exercise - Train and evaluate a regression model

Discover new regression models

Exercise - Experiment with more powerful regression models

Improve models with hyperparameters

Exercise - Optimize and save models

Knowledge check

Challenge - Regression

Summary

Introduction

What is classification?

Exercise - Train and evaluate a binary classification model

Evaluate classification models

Exercise - Train a classification model by using alternative metrics

Create multiclass classification models

Exercise - Train and evaluate multiclass classification models

Knowledge check

Challenge - Train a classification model to classify wine data

Summary

Introduction

What is clustering?

Exercise - Train and evaluate a clustering model

Evaluate different types of clustering

Exercise - Train and evaluate advanced clustering models

Knowledge check

Challenge - Clustering

Summary