Data Science : A First Introduction with Python (Hardcover)

Preface? Foreword? Acknowledgments? 1. Python and Pandas? 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? Bibliography? Index