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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

Learning how dependency resolution works

Dependencies are part of the fundamental pieces of software development and data science. Back in Chapter 1, Understanding the AI/ML Landscape, we gave an overview of dependencies by using a cooking example with things that you need to make a certain dish, and how those requirements can conflict with one another, resulting in a tricky situation. We could provide another food analogy, but let's give something that's a little more real to understand – why the alternative of not using anyone else's packages and libraries can be a challenge.

Let's take a look and see whether we can get by without any dependencies for building a simple web application where users can create accounts and pick their favorite movies so you can recommend ones they might like:

  1. First, you will need to get some form of authentication for your project. You will need to brush up on your security skills, such as seeding, hashing functions...
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