Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Applied Data Science Workshop

GitHub issues GitHub forks GitHub stars PRs Welcome versions

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

The Applied Data Science Workshop

To get started with the project files, you'll need to:

  1. Install Jupyter on Windows, Mac, Linux
  2. Install Anaconda on Windows, Mac, Linux

About The Applied Data Science Workshop

The Applied Data Science Workshop explores the key elements and interesting applications of data science techniques with the help of practical examples and interactive exercises. Following a hands-on approach, it allows you the freedom of analyzing data in the Jupyter Notebook effectively using many diverse open-source Python libraries.   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:

About

No description, website, or topics provided.

Resources

License

Releases

No releases published

Packages

No packages published