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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

Product type Paperback

Published in May 2022

Publisher Packt

ISBN-13 9781800568785

Length 330 pages

Edition 1st Edition

Tools

Anaconda

Concepts

Data Science

Author (1):

Dan Meador

View More author details

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 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

Technical requirements

To follow the exercises in this chapter, you will require the following setup:

The Anaconda distribution edition installed. This includes conda and Navigator.
Jupyter Notebook installed in your conda environment.

The rest of the chapter is locked

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Authors (1)

Meador

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.

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