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You're reading from  Building Data Science Solutions with Anaconda

Product typeBook
Published inMay 2022
PublisherPackt
ISBN-139781800568785
Edition1st Edition
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Dan Meador
Dan Meador
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Dan Meador

Dan Meador is an Engineering Manager at Anaconda and is the creator of Conda as well as a champion of open source at Anaconda. With a history of engineering and client facing roles, he has the ability to jump into any position. He has a track record of delivering as a leader and a follower in companies from the Fortune 10 to startups.
Read more about Dan Meador

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Technical requirements

There are a few things that you will need to get the most out of this chapter. They are as follows:

  • Anaconda Distribution. This includes conda and Navigator.You can download that from the following URL: https://www.anaconda.com/products/distribution
  • A conda environment with scikit-learn, pandas, and matplotlib.
  • A Jupyter notebook to perform all the coding segments. You also can use any IDE of choice or even the command line, but the assumption is that you will be working in a notebook.

After you have that set up, we can look at our first topic – how to deal with having extra data.

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You have been reading a chapter from
Building Data Science Solutions with Anaconda
Published in: May 2022Publisher: PacktISBN-13: 9781800568785

Author (1)

author image
Dan Meador

Dan Meador is an Engineering Manager at Anaconda and is the creator of Conda as well as a champion of open source at Anaconda. With a history of engineering and client facing roles, he has the ability to jump into any position. He has a track record of delivering as a leader and a follower in companies from the Fortune 10 to startups.
Read more about Dan Meador