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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

Importing packages with Anaconda and conda-forge

This section might be one of the most valuable in the entire book as it's such a foundational part of the work you will do day to day as a data scientist (and as a developer). In any given project or even a small proof of concept, you will use many packages to accomplish what you need to, so let's look at how conda and conda-forge work together to get you what you need.

The conda package manager and Navigator are great tools, but they are useless without the packages themselves. For any given update to a package, there are things that might have changed with it or new dependencies brought in. For example, TensorFlow (https://github.com/tensorflow/tensorflow), the popular machine learning framework, is looking at releasing version 2.6.0. This release splits out a major part, Keras, so now there may be libraries that aren't needed and new ones that are. Some package updates are very minor, but some require a lot of manual...

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