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Building Data Science Solutions with Anaconda

You're reading from  Building Data Science Solutions with Anaconda

Product type Book
Published in May 2022
Publisher Packt
ISBN-13 9781800568785
Pages 330 pages
Edition 1st Edition
Languages
Author (1):
Dan Meador Dan Meador
Profile icon Dan Meador

Table of Contents (16) Chapters

Preface 1. Part 1: The Data Science Landscape – Open Source to the Rescue
2. Chapter 1: Understanding the AI/ML landscape 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

Discovering what conda environments are and how to use them

In this section, you'll learn how to use a key feature of Anaconda that allows you to create separate spaces for your code: environments. You'll gain an understanding of what they are and how to create them in conda and in Navigator, as well as how to share those environments with others.

Let's start by making sure you have a clear understanding of what environments are and how they fit in with the other parts of conda.

There are the three core pillars of conda, environments, packages, and channels, and each is vital to know in order to master conda. We have already learned about packages in Chapter 2, Analyzing Open Source Software. Here, we will go through environments and channels using the analogy of getting food at the grocery store.

The first of the three pillars is environments. With our food analogy, let's say you are making spaghetti, with brownies for dessert. You need the milk and...

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