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
- Intro to Python Lab - Classifying Images Lab: Determine which CNN architecture model works best at classifying images of dogs and their breeds.
NumPy and Pandas Mini-Projects
- NumPy Mini-Project Mean normalize and separate data
- Pandas Mini-Project Get statistics from stock data
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.