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

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#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. 

Create your First Recipe

Handling Missing Values

Log and Square Root Transformations

Data Normalization

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