March 22, 2020

229 words 2 mins read



A New, Interactive Approach to Learning Data Science

repo name PacktWorkshops/The-Data-Science-Workshop
repo link
language Jupyter Notebook
size (curr.) 167082 kB
stars (curr.) 23
created 2019-10-14
license MIT License

The Data Science Workshop

GitHub issues GitHub forks GitHub stars PRs Welcome

This is the repository for The 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:

  1. Setup Google colab

About The Data Science Workshop

You already know you want to learn data Science, and the smarter way to learn Data Science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can kick-start your career as a developer and rapidly prototype applications. You’ll learn from real examples that lead to real results.

What you will learn

  • Find out the key differences between supervised and unsupervised learning
  • Manipulate and analyse data using scikit-learn and pandas libraries
  • Learn about key concepts like regression, classification and clustering
  • Discover advanced techniques to improve the accuracyof your model
  • Understand how to speed up the process of adding new features
  • Simplify your machine learning workflow for production

If you’ve found this repository useful, you might want to check out some of our other workshop titles:

comments powered by Disqus