Udemy - Quick Guide - Regression Pipeline with R & tidymodels

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[ CourseBoat.com ] Udemy - Quick Guide - Regression Pipeline with R & tidymodels
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Setup
    • 1. Introduction.mp4 (7.4 MB)
    • 1. Introduction.srt (3.0 KB)
    • 2. Installation of R & RStudio.mp4 (7.0 MB)
    • 2. Installation of R & RStudio.srt (0.9 KB)
    • 2.1 Install R.html (0.1 KB)
    • 3. Setup.mp4 (9.2 MB)
    • 3. Setup.srt (2.0 KB)
    • 4. Install Packages.html (0.7 KB)
    2. tidymodels & workflowsets
    • 1. Splitting data - rsample.mp4 (40.8 MB)
    • 1. Splitting data - rsample.srt (6.9 KB)
    • 1.1 intro_tidymodels.txt (2.5 KB)
    • 1.2 rsample package.html (0.1 KB)
    • 10. tune.html (0.2 KB)
    • 11. Tune hyperparameters - tune II.mp4 (43.9 MB)
    • 11. Tune hyperparameters - tune II.srt (5.2 KB)
    • 12. Preprocess and tune - workflows.mp4 (91.2 MB)
    • 12. Preprocess and tune - workflows.srt (10.5 KB)
    • 12.1 workflows package.html (0.1 KB)
    • 12.2 workflows.txt (2.3 KB)
    • 12.3 yardstick package.html (0.1 KB)
    • 13. workflows.html (0.2 KB)
    • 14. Multiple workflows - workflowsets I.mp4 (61.6 MB)
    • 14. Multiple workflows - workflowsets I.srt (7.9 KB)
    • 14.1 workflowsets package.html (0.1 KB)
    • 14.2 workflowsets.txt (4.4 KB)
    • 15. Multiple workflows - workflowsets II.mp4 (93.1 MB)
    • 15. Multiple workflows - workflowsets II.srt (10.4 KB)
    • 16. workflowsets.html (0.2 KB)
    • 2. rsample.html (0.2 KB)
    • 3. Preprocess data - recipes I.mp4 (73.4 MB)
    • 3. Preprocess data - recipes I.srt (9.8 KB)
    • 3.1 recipes package.html (0.1 KB)
    • 4. recipes I.html (0.2 KB)
    • 5. Preprocess data - recipes II.mp4 (54.3 MB)
    • 5. Preprocess data - recipes II.srt (6.0 KB)
    • 6. recipes II.html (0.2 KB)
    • 7. Train models - parsnip.mp4 (69.0 MB)
    • 7. Train models - parsnip.srt (9.6 KB)
    • 7.1 Link to models.html (0.1 KB)
    • 7.2 parsnip package.html (0.1 KB)
    • 8. parsnip.html (0.2 KB)
    • 9. Tune hyperparameters - tune.mp4 (70.7 MB)
    • 9. Tune hyperparameters - tune.srt (9.0 KB)
    • 9.1 tune package.html (0.1 KB)
    • 9.2 tune_tidymodels.txt (2.0 KB)
    3. Building the pipeline
    • 1. Intro.mp4 (17.8 MB)
    • 1. Intro.srt (4.8 KB)
    • 1.1 prepare_data.txt (0.3 KB)
    • 2. plumber.mp4 (24.2 MB)
    • 2. plumber.srt (4.6 KB)
    • 2.1 plumber package.html (0.1 KB)
    • 3. Pipeline - Basics.mp4 (29.6 MB)
    • 3. Pipeline - Basics.srt (4.9 KB)
    • 3.1 reg_params_exp.txt (5.0 KB)
    • 3.2 rmarkdown package.html (0.1 KB)
    • 4. Pipeline - Steps I.mp4 (38.8 MB)
    • 4. Pipeline - Steps I.srt (7.0 KB)
    • 5. Pipeline - Steps II.mp4 (30.4 MB)
    • 5. Pipeline - Steps II.srt (5.5 KB)
    • 6. Pipeline - predict endpoint.mp4 (18.6 MB)
    • 6. Pipeline - predict endpoint.srt (3.3 KB)
    • 6.1 plumber.txt (1.5 KB)
    • 7. Pipeline - report endpoint.mp4 (20.5 MB)
    • 7. Pipeline - report endpoint.srt (3.7 KB)
    • 7.1 plumber serializers.html (0.1 KB)
    • 8. Pipeline - Interaction.mp4 (56.0 MB)
    • 8. Pipeline - Interaction.srt (9.4 KB)
    • 8.1 api_urls.txt (0.4 KB)
    • 8.2 start_api.txt (0.1 KB)
    4. Outro
    • 1. Thank you.mp4 (569.6 KB)
    • 1. Thank you.srt (0.5 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Quick Guide: Regression Pipeline with R & tidymodels



Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 858 MB | Duration: 1h 51m
Build a dynamic Regression Pipeline with tidymodels and plumber
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

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.



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Udemy - Quick Guide - Regression Pipeline with R & tidymodels
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