The essentials of data science. ([2017])

• Record Type: Book
• Further Information: Note: Graham J. Williams.
• Other Names: Williams, Graham J
• Contents: Cover ; Half Title ; Series Editors; Published Titles; Title ; Copyright ; Dedication ; Preface; Contents; List of Figures; List of Tables; Chapter 1 Data Science; 1.1 Exercises; Chapter 2 Introducing R; 2.1 Tooling For R Programming; 2.2 Packages and Libraries; 2.3 Functions, Commands and Operators; 2.4 Pipes; 2.5 Getting Help; 2.6 Exercises; Chapter 3 Data Wrangling; 3.1 Data Ingestion; 3.2 Data Review; 3.3 Data Cleaning; 3.4 Variable Roles; 3.5 Feature Selection; 3.6 Missing Data; 3.7 Feature Creation; 3.8 Preparing the Metadata; 3.9 Preparing for Model Building; 3.10 Save the Dataset 3.11 A Template for Data Preparation3.12 Exercises; Chapter 4 Visualising Data; 4.1 Preparing the Dataset; 4.2 Scatter Plot; 4.3 Bar Chart; 4.4 Saving Plots to File; 4.5 Adding Spice to the Bar Chart; 4.6 Alternative Bar Charts; 4.7 Box Plots; 4.8 Exercises; Chapter 5 Case Study: Australian Ports; 5.1 Data Ingestion; 5.2 Bar Chart: Value/Weight of Sea Trade; 5.3 Scatter Plot: Throughput versus Annual Growth; 5.4 Combined Plots: Port Calls; 5.5 Further Plots; 5.6 Exercises; Chapter 6 Case Study: Web Analytics; 6.1 Sourcing Data from CKAN; 6.2 Browser Data; 6.3 Entry Pages; 6.4 Exercises Chapter 7 A Pattern for Predictive Modelling7.1 Loading the Dataset; 7.2 Building a Decision Tree Model; 7.3 Model Performance; 7.4 Evaluating Model Generality; 7.5 Model Tuning; 7.6 Comparison of Performance Measures; 7.7 Save the Model to File; 7.8 A Template for Predictive Modelling; 7.9 Exercises; Chapter 8 Ensemble of Predictive Models; 8.1 Loading the Dataset; 8.2 Random Forest ; 8.3 Extreme Gradient Boosting; 8.4 Exercises; Chapter 9 Writing Functions in R; 9.1 Model Evaluation; 9.2 Creating a Function; 9.3 Function for ROC Curves; 9.4 Exercises; Chapter 10 Literate Data Science 10.1 Basic LATEX Template10.2 A Template for our Narrative; 10.3 Including R Commands; 10.4 Inline R Code; 10.5 Formatting Tables Using Kable; 10.6 Formatting Tables Using XTable; 10.7 Including Figures; 10.8 Add a Caption and Label; 10.9 Knitr Options; 10.10Exercises; Chapter 11 R with Style; 11.1 Why We Should Care; 11.2 Naming; 11.3 Comments; 11.4 Layout; 11.5 Functions; 11.6 Assignment; 11.7 Miscellaneous; 11.8 Exercises; Bibliography; Index
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2017
• Extent: 1 online resource (343 p.)
• Subjects: 005.7; Big data; Computational intelligence; COMPUTERS / Databases / General; Electronic books; Electronic books
• Languages: English
• ISBNs: 9781498740012; 1498740014; 9781351647496; 1351647490
• Related ISBNs: 9781138088634; 1138088633; 9781498740005
• Notes: Note: Includes bibliographical references and index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.