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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.

• 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.

• Intro to Python Lab - Classifying Images Lab: Determine which CNN architecture model works best at classifying images of dogs and their breeds.

• NumPy Mini-Project Mean normalize and separate data
• Pandas Mini-Project Get statistics from stock data

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

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

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

To install these dependencies with pip, you can issuepip3 install -r requirements.txt.