AWS Machine Learning Scholarship Program

This project focuses on best practices of object-oriented programming, AWS AI Services, AWS DeepLens, AWS DeepRacer, and AWS DeepComposer.

Table of Contents

1. aws machine learning scholarship quiz answers
2. Software Engineering Practices Pt II
3. Introduction to Object-Oriented Programming
4. Machine Learning with AWS DeepComposer

Installation

:fire: Anaconda

The Anaconda distribution is free to install and can be downloaded using:

https://www.anaconda.com/download/

Based on your operating system, installation instructions are available online:

• Installing on macOS
• Installing on Linux
• Installing on Windows

:snake: Python 3

Python 3 is required to run the files within this repository.

Run

In a terminal or command window, navigate to the top-level project directory AWS-Machine-Learning-Scholarship-Program/ (that contains this README) and run the following command:

jupyter notebook jupyter_notebook.ipynb

or

jupyter notebook jupyter_notebook.ipynb

on any Jupyter Notebook. This will open the iPython Notebook software and project file in your browser.

Additional Resources

PEP 257 - Docstring Conventions

NumPy Docstring Guide

How do I create some kind of table of content in GitHub wiki?

Examples on documentation

Udacity's course: Writing READMEs

Bootstrap

Scikit-learn

Stack Overflow Blog

Version Control

A successful Git branching model

How to version control your production machine learning models

Versioning Data Science Solutions

Test Driven Development for Data Science

Data Science and Test Driven Development

Test-Driven Development for Data Science

Test Driven Development is essential for good data science

Testing Your Code

Code Reviews

Code Review

Code Review Best Practices

OOP topics

Python - public, private and protected Access Modifiers

Advanced OOP Topics

Python's Instance, Class, and Static Methods Demystified

Class and Instance Attributes

Mixins for Fun and Profit

Primer on Python Decorators

Explore Generative AI Further

Create compositions using sample models in music studio

Inspect the training of existing sample models

Train your own model within the AWS DeepComposer console

Build your own GAN model

License

This project uses the MIT License.