Tiffany Timbers, Trevor Campbell, Melissa Lee

Data Science (eBook, PDF)

A First Introduction

• Format: PDF

Produktbeschreibung

Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 456
• Erscheinungstermin: 15. Juli 2022
• Englisch
• ISBN-13: 9781000579628
• Artikelnr.: 64184680

Autorenporträt

Tiffany Timbers is an Assistant Professor of Teaching in the Department of Statistics and Co-Director for the Master of Data Science program (Vancouver Option) at the University of British Columbia.

Trevor Campbell is an Assistant Professor in the Department of Statistics at the University of British Columbia.

Melissa Lee is an Assistant Professor of Teaching in the Department of Statistics at the University of British Columbia

Inhaltsangabe

1. R and the tidyverse
2. Reading in data locally and from the web
3. Cleaning and wrangling data
4. Effective data visualization
5. Classification I: training & predicting
6. Classification II: evaluation & tuning
7. Regression I: K-nearest neighbors
8. Regression II: linear regression
9. Clustering
10. Statistical inference
11. Combining code and text with Jupyter
12. Collaboration with version control
13. Setting up your computer