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The Data Science Workshop

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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

The Data Science Workshop

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

  1. Setup Google colab

About The Data Science Workshop

Where there’s data, there’s insight. With so much data being generated, there is immense scope to extract meaningful information that’ll boost business productivity and profitability. In The Data Science Workshop, by learning to convert raw data into game-changing insights, you’ll open new career paths and opportunities.

What you will learn

  • Explore the key differences between supervised learning and unsupervised learning
  • Manipulate and analyze data using scikit-learn and pandas libraries
  • Understand key concepts such as regression, classification, and clustering
  • Discover advanced techniques to improve the accuracy of your model
  • Understand how to speed up the process of adding new features
  • Simplify your machine learning workflow for production

Related Workshops

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

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A New, Interactive Approach to Learning Data Science

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  • Jupyter Notebook 99.7%
  • Python 0.3%