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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

Summary

By now you've seen how you can create environments with the command line with conda, as well as employing a more visual approach with Navigator. You have an understanding of what dependency management looks like and why it's important to take into account different transitive dependencies and their versions.

You've seen how easy and simple it can be to upload and enable the sharing of your environments so that others can benefit from them.

In addition, we've wrapped up the three pillars of conda by looking at channels and how conda makes use of many different sources for the packages it needs. We've touched on conda-forge as one of those locations.

Much of what you have learned in this chapter will prove to be invaluable in your everyday work and I encourage you to reference the conda cheat sheet here until you no longer need it. You'll be using some commands so often that it won't take long.

Now that we know the Anaconda tools...

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