Data Science in Practice
Data Science in Practice
Tutorials
Introduction
Python
Jupyter Notebooks
Data Analysis
Data Gathering
Data Wrangling
Data Cleaning
Data Privacy & Anonymization
Data Visualization
Distributions
Testing Distributions
Statistical Comparisons
Ordinary Least Squares
Linear Models
Clustering
Dimensionality Reduction
Classification
Natural Language Processing
Appendix: Python Packages
Appendix: Version Control
Assignments
Python Introduction
Pandas
Data Exploration
Data Privacy
Data Analysis
Natural Language Processing
Project
Project Guide
Project Proposal
Project Report
Project Checklist
repository
open issue
Index
