Data Science : A First Introduction (Paperback)

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