
Data Science with Jupyter
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Content
- Cover
- Data Science with Jupyter
- Copyright
- About the Author
- Preface
- Acknowledgements
- Erratta
- Contents
- 1. Data Science Fundamentals
- 2. Installing Software and Setting up
- 3. Lists and Dictionaries
- 4. Function and packages
- 5. NumPy Foundation
- 6. Pandas and Dataframe
- 7. Interacting with Databases
- 8. Thinking Statistically in Data Science
- 9. How to import data in Python?
- 10. Cleaning of imported data
- 11. Data Visualization
- 12. Data Pre-processing
- 13. Supervised Machine Learning
- 14. unsupervised Machine Learning
- 15. Handling time-Series Data
- 16. Time-Series Methods
- 17. Case Study-1
- 18. Case Study-2
- 19. case Study-3
- 20. Case Study-4
- Index
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