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Title | Tidy Modeling with |
Description | The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. This book provides a thorough introduction to how to use tidymodels, and an outline of good methodology and statistical practice for |
Keywords | N/A |
WebSite | tmwr.org |
Host IP | 68.183.27.198 |
Location | United States |
Site | Rank |
US$6,504,412
Last updated: 2023-05-08 05:21:56
tmwr.org has Semrush global rank of 1,627,250. tmwr.org has an estimated worth of US$ 6,504,412, based on its estimated Ads revenue. tmwr.org receives approximately 750,509 unique visitors each day. Its web server is located in United States, with IP address 68.183.27.198. According to SiteAdvisor, tmwr.org is safe to visit. |
Purchase/Sale Value | US$6,504,412 |
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Yearly Ads Revenue | US$2,161,466 |
Daily Unique Visitors | 50,034 |
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Host | Type | TTL | Data |
tmwr.org. | A | 299 | IP: 68.183.27.198 |
tmwr.org. | A | 299 | IP: 157.245.84.7 |
tmwr.org. | NS | 3600 | NS Record: dns1.p06.nsone.net. |
tmwr.org. | NS | 3600 | NS Record: dns2.p06.nsone.net. |
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Tidy Modeling with R Hello World Acknowledgments Using Code Examples Introduction 1 Software for modeling 1.1 Fundamentals for Modeling Software 1.2 Types of Models Descriptive models Inferential models Predictive models 1.3 Connections Between Types of Models 1.4 Some Terminology 1.5 How Does Modeling Fit into the Data Analysis Process? 1.6 Chapter Summary 2 A Tidyverse Primer 2.1 Tidyverse Principles 2.1.1 Design for humans 2.1.2 Reuse existing data structures 2.1.3 Design for the pipe and functional programming 2.2 Examples of Tidyverse Syntax 2.3 Chapter Summary 3 A Review of R Modeling Fundamentals 3.1 An Example 3.2 What Does the R Formula Do? 3.3 Why Tidiness Is Important for Modeling 3.4 Combining Base R Models and the Tidyverse 3.5 The tidymodels Metapackage 3.6 Chapter Summary Modeling Basics 4 The Ames Housing Data 4.1 Exploring Features of Homes in Ames 4.2 Chapter Summary 5 Spending our Data 5.1 Common Methods for Splitting Data 5.2 What About a Validation Set? 5.3 |
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