Learn how all pieces of the tidymodels framework fit together and quickly create highly performing machine learning models.

Tidymodels Level 1

course-r-machine-learning-tidymodels#01-basics

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#recipe

The tidymodels Machine Learning Workflow

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-machine-learning-with-tidymodels

Machine Learning with tidymodels

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-what-is-tidymodels

What is tidymodels?

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-preprocess

Preprocess

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#quiz-1

Quiz: Preprocess

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-model

Model

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#quiz-2

Quiz: Model

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-measure

Measure

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#quiz-3

Quiz: Measure

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-sample

Sample

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#quiz-4

Quiz: Sample

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-tune

Tune

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#quiz-5

Quiz: Tune

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#section-machine-learning-with-tidymodels-1

course-r-machine-learning-tidymodels#01-basics#01-tidymodels-workflow#quiz-6

Quiz: Machine Learning Workflow with tidymodels

Start your machine learning journey and learn the most fundamental building blocks of the tidymodels framework.

Basics

Tidymodels Recipes Level 1

course-r-machine-learning-tidymodels#02-preprocessing

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#recipe

Create your First Recipe

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#section-introduction-to-recipes

Introduction to recipes

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#section-define-a-recipe-with-a-formula

Define a Recipe with a Formula

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#section-formula-with-multiple-predictors

Formula with Multiple Predictors

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#quiz-1

Quiz: Interpret a Recipe with a Formula

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#exercise-02-01-01

Exercise: Define a Recipe with a Formula

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#section-prepare-and-apply-a-recipe

Prepare and Apply a Recipe

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#exercise-02-01-02

Exercise: Apply a Recipe

course-r-machine-learning-tidymodels#02-preprocessing#01-create-your-first-recipe#quiz-2

Quiz: Recipes

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#recipe

Handling Missing Values

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#section-missing-values

Missing Values

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#quiz-1

Quiz: Missing Values

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#section-remove-observations-with-missing-values

Remove Observations with Missing Values

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#exercise-02-03-02

Exercise: Remove Observations with Missing Values

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#section-mean-imputation

Mean Imputation

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#exercise-02-03-03

Exercise: Apply Mean Imputation

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#section-median-imputation

Median Imputation

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#exercise-02-03-04

Exercise: Apply Median Imputation

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#section-mode-imputation

Mode Imputation

course-r-machine-learning-tidymodels#02-preprocessing#02-handling-missing-values#exercise-02-03-05

Exercise: Mode Imputation

course-r-machine-learning-tidymodels#02-preprocessing#03-data-transformation

course-r-machine-learning-tidymodels#02-preprocessing#03-data-transformation#recipe

Log and Square Root Transformations

course-r-machine-learning-tidymodels#02-preprocessing#03-data-transformation#section-log-transformation

Log Transformation

course-r-machine-learning-tidymodels#02-preprocessing#03-data-transformation#exercise-02-03-04

Exercise: Log transformation

course-r-machine-learning-tidymodels#02-preprocessing#03-data-transformation#section-square-root-transformation

Square Root Transformation

course-r-machine-learning-tidymodels#02-preprocessing#03-data-transformation#quiz-1

Quiz: Data transformation

course-r-machine-learning-tidymodels#02-preprocessing#04-data-normalization

course-r-machine-learning-tidymodels#02-preprocessing#04-data-normalization#recipe

Data Normalization

course-r-machine-learning-tidymodels#02-preprocessing#04-data-normalization#section-range-scaling

Range Scaling

course-r-machine-learning-tidymodels#02-preprocessing#04-data-normalization#exercise-02-05-01

Exercise: Range Scaling

course-r-machine-learning-tidymodels#02-preprocessing#04-data-normalization#section-normalization

Normalization

course-r-machine-learning-tidymodels#02-preprocessing#04-data-normalization#exercise-02-05-02

Exercise: Normalization

course-r-machine-learning-tidymodels#02-preprocessing#04-data-normalization#quiz-1

Quiz: Data Normalization

Learn why data preprocessing is crucial in your machine learning workflow and create your first data transformations with the recipes package.

Data Preprocessing with recipes

Tidymodels Parsnip Level 1

course-r-machine-learning-tidymodels#03-model-fitting-parsnip

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#recipe

Linear Regression

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#section-create-a-linear-regression-model

Create a Linear Regression Model

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#section-fit-a-linear-regression-model

Fit a Linear Regression Model

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#exercise-03-01-03

Exercise: Fit a Linear Regression Model

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#section-understand-the-fitted-model

Understand the Fitted Model

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#exercise-03-01-04

Exercise: Access Fitted Model

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#quiz-1

Quiz: Interpret Coefficients

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#section-interpret-significance-values

Interpret Significance Values

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#quiz-2

Quiz: Interpret Significance Values

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#section-onehot-encoding-use-factor-variables-as-predictors

One–Hot Encoding: Use Factor Variables as Predictors

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#01-linear-regression#quiz-3

Quiz: Use Factor Variables as Predictors

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#recipe

Decision Trees

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#section-fitting-decision-trees

Fitting Decision Trees

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#section-plotting-decision-trees

Plotting Decision Trees

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#exercise-03-04-03

Exercise: Fit and Plot a Decision Tree

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#section-interpreting-decision-trees

Interpreting Decision Trees

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#quiz-1

Quiz: Interpreting Decision Trees

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#section-parameters

Decision Tree Hyperparameters

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#section-hyperparameter-tree_depth

Hyperparameter: tree_depth

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#exercise-03-04-05

Exercise: tree_depth

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#section-hyperparameter-min_n

Hyperparameter: min_n

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#exercise-03-04-06

Exercise: min_n

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#section-hyperparameter-cost_complexity

Hyperparameter: cost_complexity

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#02-decision-trees#exercise-03-04-04

Exercise: cost_complexity

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#recipe

Fitting a Random Forest

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#section-learn-how-random-forests-work

Learn How Random Forests Work

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#quiz-1

Quiz: Random Forest

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#section-fit-random-forests-with-parsnip

Fit Random Forests with parsnip

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#exercise-03-05-02

Exercise: Fit a Random Forest

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#section-hyperparameter-trees

Hyperparameter: trees

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#section-hyperparameter-mtry

Hyperparameter: mtry

course-r-machine-learning-tidymodels#03-model-fitting-parsnip#03-random-forests#quiz-2

Quiz: Random Forest Hyperparameters

Learn how to fit machine learning models using the parsnip package including linear regression, decision trees and boosting trees.

Model Fitting with parsnip

Tidymodels  Yardstick Level 1

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#01-predict-model-output

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#01-predict-model-output#recipe

Predicting Model Output

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#01-predict-model-output#section-the-predict-function

The predict() Function

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#01-predict-model-output#section-comparing-predictions-and-true-values

Comparing Predictions and True Values

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#01-predict-model-output#quiz-1

Quiz: The predict() Function

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#01-predict-model-output#exercise-04-01-02

Exercise: Make Predictions

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#02-regression-r-squared

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#02-regression-r-squared#recipe

Performance Metrics for Regression

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#02-regression-r-squared#section-regression-performance-metrics

Regression Performance Metrics

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#02-regression-r-squared#quiz-1

Quiz: Regression Performance Metrics

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#02-regression-r-squared#section-mean-absolute-error

Mean Absolute Error

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#02-regression-r-squared#quiz-2

Quiz: MAE

course-r-machine-learning-tidymodels#04-model-evaluation-performance-metrics-yardstick#02-regression-r-squared#section-root-mean-squared-error

Root mean squared error

Learn how to estimate model quality based on different performance metrics using the yardstick package. 

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