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Code and associated files for the AI Programming with Python Nanodegree Program

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AIPND

This repository contains code and associated files for the AI Programming with Python Nanodegree program. This repository consists of a number of tutorial notebooks for various coding exercises and programming labs that will be used to supplement the lessons of the course.

Table Of Contents

Tutorial Notebooks

  • Linear Algebra Essentials
    • Vectors Lab Learn how to graph 2D vectors.
    • Linear Combination Lab Learn how to computationally determine a vector's span and solve a simple system of equations.
    • Linear Mapping Learn how to solve some problems computationally using vectors and matrices.

Programming Labs

NumPy and Pandas Mini-Projects

Matplotlib

  • Matplotlib Notebooks containing practice exercises for the Matplotlib lesson(s)

Quiz Notes

  • Notes: This directory contains more information about certain quizzes that are testing more challenging concepts. The filename indicates which quiz the note is covering. Additionally, one will find the Frequently Asked Questions for the Intro to Python Lab. Click on the filename to view the contents of the notes on a quiz or the Intro to Python Lab.

Dependencies

Each directory has a requirements.txt describing the minimal dependencies required to run the notebooks in that directory.

pip

To install these dependencies with pip, you can issue pip3 install -r requirements.txt.

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Code and associated files for the AI Programming with Python Nanodegree Program

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