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Building Data Science Solutions with Anaconda

You're reading from   Building Data Science Solutions with Anaconda A comprehensive starter guide to building robust and complete models

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781800568785
Length 330 pages
Edition 1st Edition
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Author (1):
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Dan Meador Dan Meador
Author Profile Icon Dan Meador
Dan Meador
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Table of Contents (16) Chapters Close

Preface 1. Part 1: The Data Science Landscape – Open Source to the Rescue
2. Chapter 1: Understanding the AI/ML landscape FREE CHAPTER 3. Chapter 2: Analyzing Open Source Software 4. Chapter 3: Using the Anaconda Distribution to Manage Packages 5. Chapter 4: Working with Jupyter Notebooks and NumPy 6. Part 2: Data Is the New Oil, Models Are the New Refineries
7. Chapter 5: Cleaning and Visualizing Data 8. Chapter 6: Overcoming Bias in AI/ML 9. Chapter 7: Choosing the Best AI Algorithm 10. Chapter 8: Dealing with Common Data Problems 11. Part 3: Practical Examples and Applications
12. Chapter 9: Building a Regression Model with scikit-learn 13. Chapter 10: Explainable AI - Using LIME and SHAP 14. Chapter 11: Tuning Hyperparameters and Versioning Your Model 15. Other Books You May Enjoy

Chapter 3: Using the Anaconda Distribution to Manage Packages

If software packages are the tools, then a package manager is the A package manager allows you to quickly and effectively find the packages you need and ensures that each tool works seamlessly with each other. It is key to being able to clean data, build models, and create functioning software.

In this chapter, we will take a deeper look at what these packages are, where they live, and how you can use conda and Anaconda tools to incorporate them into your projects. Knowing how to pull in the packages that you need will be the first step in any data science project, so it's vital that you can do this easily.

We'll also create two conda environments and see how you can make use of these to make repeatable projects, share them with your colleagues, or maybe just keep them for yourself.

Finally, you'll discover some more advanced conda features, such as setting up your .condarc configuration file, which...

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