Research Guides: Machine Learning Analyst Diploma: Open Sources

Open Data Repositories

Mendeley Data
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Dryad
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Figshare
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Open Science Frameworks
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Limit resource type to 'Dataset'.
Lunaris
Lunaris is Canada’s national discovery service for multidisciplinary data from research institutions across the country. Datasets from over 100 academic, government, and research repositories are made discoverable in a bilingual interface that provides keyword and map-based searching.
Azure Open Data Sets
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning projects.
Data Sets - CDC (Centre for Disease Control)
Here you can explore published data sets from the CDC, such as statistics, surveys, archives and more.
DBpedia
... a crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects.
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https://www.dbpedia.org/about/
Kaggle Datasets
Explore, analyze, and share quality data.
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https://www.kaggle.com/docs/datasets#resources-for-starting-a-data-project
Open Data Monitor
OpenDataMonitor brings open datasets to light. As a platform, it gives visitors an overview of available [European] open data resources, allowing them to analyse and visualise existing data catalogues using innovative technologies.
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https://opendatamonitor.eu/frontend/web/index.php?r=site%2Fabout
Open Data Sets - IEEE PES (Institute of Electrical and Electronics Engineers, Power & Energy Society)
These data are intended to be used by researchers and other professionals working in power and energy related areas and requiring data for design, development, test, and validation purposes. These data should not be used for commercial purposes.
Open Data WHO (World Health Organization)
WHO's gateway to health-related statistics for its 194 Member States. It provides access to over 1000 indicators on priority health topics including...
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mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.
https://www.who.int/data/gho/info/about-the-observatory
Registry of Open Data on AWS (Amazon Web Services)
Registration with AWS required.
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https://aws.amazon.com/opendata/?wwps-cards.sort-by=item.additionalFields.sortDate&wwps-cards.sort-order=desc
World Bank Open Data
Free and open access to global development data.
Yelp Datasets
The Yelp dataset is a subset of our businesses, reviews, and user data for use in personal, educational, and academic purposes.

Goverment Data

City of Edmonton - Open Data
Open Data is freely available, easy to access, and most importantly, simple for the public to reuse in machine-readable formats.
This data, from across the city's departments and branches is available here in a single place - the Open Data Portal.
Government of Alberta - Open Data
Search a listing of Government of Alberta open datasets.
Government of Canada - Open Data
Search open data that is relevant to Canadians, learn how to work with datasets, and see what people have done with open data across the country.

Open Software for MLAD Courses

Machine Learning 1

Matplotlib: Visualizations with Python Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
Numpy The fundamental package for scientific computing with Python.
Pandas pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
Plotly
SciKit Learn Machine Learning in Python

Algorithms

OpenDSA
VisuAlgo visualising data structures and algorithms through animation

Data Management Systems

sq3lite Coding Library DB-API 2.0 interface for SQLite databases — Python 3.10.4 documentation. (2006). The Python Software Foundation.

Exploratory Data Analysis

CuPy CuPy is an open-source array library for GPU-accelerated computing with Python
GitHub: Where the world builds software Millions of developers and companies build, ship, and maintain their software on GitHub—the largest and most advanced development platform in the world.
Matplotlib: Visualizations with Python Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
Numpy The fundamental package for scientific computing with Python.
Pandas pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
Plotly
Power BI
free version of Power BI
RAPIDS The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs.
SciKit Learn Machine Learning in Python
Tableau for Students
We offer free one-year Tableau licenses to students at accredited academic institutions through our Tableau for Students program. Receive access to our entire eLearning suite once verified.

GitHub

GitHub: Where the world builds software
Millions of developers and companies build, ship, and maintain their software on GitHub—the largest and most advanced development platform in the world.

Learn about GitHub:

GitHub Guide
from HelloWorld
Beginner Git Tutorials
from Git Kraken
GitHub Training & Guides
multiple playlists available on YouTube
Git and GitHub for Beginners
YouTube video from freeCodeCamp.org

Github Essentials Unleash the power of collaborative development workflow using GitHub, one step at a time About This Book - Effectively use GitHub by learning its key features that leverage the power of Git and make collaboration on code easy to work with. - Be more productive on the development workflow of your projects using the valuable toolset that GitHub provides. - Explore the world of GitHub by following simple step-by-step real world scenarios accompanied by helpful, explanatory screenshots Who This Book Is For Intended for experienced or novice developers with a basic knowledge of Git. If you ever wanted to learn how big projects like Twitter, Google or even GitHub collaborate on code then this book is for you What You Will Learn - Create and upload repositories to your account - Create organizations and manage teams with different access levels on repositories - Use effectively the issue tracker and add context to issues with labels and milestones - Schedule and release versions of your software - Work effectively with a team and collaborate on code - Create, access, and personalize your user account and profile settings - Build a community around your project using the sophisticated tools GitHub provides - Build easy to deploy, free of charge static websites for your projects In Detail Whether you are an experienced developer or a novice, learning to work with Version Control Systems is a must in the software development world. Git is the most popular tool for that purpose and GitHub was built around it leveraging its powers by bringing it to the web. Starting with the basics of creating a repository you will then learn how to manage the issue tracker, the place where discussion about your project takes place. Continuing our journey we will explore how to use the wiki and write rich documentation that will accompany your project. Organization and team management will be the next stop and then onto the feature that made GitHub so well known, Pull Requests. Next we focus on creating simple web pages hosted on GitHub and lastly we explore the settings that are configurable for a user and a repository. Style and approach A step-by-step guide with real world scenarios accompanied by helpful images. Each topic is thoroughly explained with hands-on-examples and code where needed. At the end of each chapter there is a Tips and tricks section presenting hidden or overlooked features of GitHub.
Call Number: eBook
Publication Date: 2015

Jupyter

Dataverse
The Dataverse Project is an open source web application to share, preserve, cite, explore, and analyze research data.
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It facilitates making data available to others, and allows you to replicate others' work more easily. Researchers, journals, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility.

https://dataverse.org/about
Project Jupyter
... supports interactive data science and scientific computing across all programming languages.
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https://jupyter.org/hub

Learn about Jupyter:

Quick introduction to Jupyter Notebook (YouTube)
In this video we provide a quick overview of Jupyter Notebook.
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We'll explain the purpose of this web-based notebook programming environment and demonstrate how to write code in it as well as manage it.
Introducing Jupyter - LinkedIn Learning (Login Required)
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Learning objectives...
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Running a Jupyter notebook
Using shortcuts
Line and cell commands
Visualizing data with plotting
Publishing Jupyter notebooks in GitHub
Presenting your notebooks with the slideshow feature

Learning Jupyter : learn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter by Dan Toomey
Call Number: eBook
Publication Date: 2016
Learn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter.
Learning Jupyter 5 by Dan Toomey
Call Number: eBook
Publication Date: 2018
Learning Jupyter 5 is for developers, data scientists, machine learning users, and anyone working on data analysis or data science projects across different teams.

Algorithmic Justice League
The Algorithmic Justice League is an organization that combines art and research to illuminate the social implications and harms of artificial intelligence
Google Research
Read the latest research about machine learning, natural language processing, algorithms and theory, from Google .
The Batch
Information hub curated by DeepLearning.ai
Sign up for a newsletter, read articles, blog posts, and attend events.
Mozilla Foundation: Data for Empowerment
This collaborative research series for Mozilla's Data Futures Lab explores how power can be shifted through data governance. Learn with us about the ideas, risks and opportunities of this new innovation landscape for the internet.
Mozilla Insights Hub
Mozilla Insights analyzes and documents the people and ideas behind the movement to reshape the internet and AI.

NorQuest College Library

NorQuest College Library

Machine Learning Analyst Diploma

Open Data Repositories

Goverment Data

Open Software for MLAD Courses

Machine Learning 1

Algorithms

Data Management Systems

Exploratory Data Analysis

GitHub

Learn about GitHub:

Jupyter

Learn about Jupyter: