Applied Data Science Workshop
This is the repository for The Applied Data Science Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.
Requirements and Setup
To get started with the project files, you'll need to:
About The Applied Data Science Workshop
From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security.
Taking an interactive approach to learning the fundamentals, The Applied Data Science Workshop is ideal for beginners. You’ll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples.
What you will learn
- Understand the key opportunities and challenges in data science
- Use Jupyter for data science tasks such as data analysis and modeling
- Run exploratory data analysis within a Jupyter Notebook
- Visualize data with pairwise scatter plots and segmented distribution
- Assess model performance with advanced validation techniques
- Parse HTML responses and analyze HTTP requests
Related Workshops
If you've found this repository useful, you might want to check out some of our other workshop titles:
Unit Tests
Unit tests can be executed by navigating to a chapter directory and running unittest.
For example:
>>> cd chapter-01
>>> python -m unittest
....
----------------------------------------------------------------------
Ran 4 tests in 1.393s
OK