Gary N. Thomas BBA, MSc.'s repositories
Applied-Data-Science-with-Python-Specialization
This repository to serve as a public record of my 5 courses of study at University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Cloudera-Modern-Big-Data-Analysis-with-SQL-Specialization
This Specialization teaches the essential skills for working with large-scale data using SQL. Maybe you are new to SQL and you want to learn the basics. Or maybe you already have some experience using SQL to query smaller-scale data with relational databases. Either way, if you are interested in gaining the skills necessary to query big data with modern distributed SQL engines, this Specialization is for you. Most courses that teach SQL focus on traditional relational databases, but today, more and more of the data that’s being generated is too big to be stored there, and it’s growing too quickly to be efficiently stored in commercial data warehouses. Instead, it’s increasingly stored in distributed clusters and cloud storage. These data stores are cost-efficient and infinitely scalable. To query these huge datasets in clusters and cloud storage, you need a newer breed of SQL engine: distributed query engines, like Hive, Impala, Presto, and Drill. These are open source SQL engines capable of querying enormous datasets. This Specialization focuses on Hive and Impala, the most widely deployed of these query engines. This Specialization is designed to provide excellent preparation for the Cloudera Certified Associate (CCA) Data Analyst certification exam. You can earn this certification credential by taking a hands-on practical exam using the same SQL engines that this Specialization teaches—Hive and Impala.
University-of-Califonia-Davis-Data-Visualization-with-Tableau-Specialization
Visualize Business Data with Tableau. Create powerful business intelligence reports
bokeh-notebooks
Interactive Web Plotting with Bokeh in IPython notebook
Data-Engineering-Big-Data-and-Machine-Learning-on-GCP-Specialization
A hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, I learned machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models.
electron-api-demos
Explore the Electron APIs
Excel-Skills-for-Business-Specialization
Learn Excel Skills for Business. Master Excel to add a highly valuable asset to your employability portfolio.
firepad
Collaborative Text Editor Powered by Firebase
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
From-Data-to-Insights-with-Google-Cloud-Platform-Specialization
Learn Data Analysis that Scales and Learn how to query and process petabytes of data in seconds!
IJulia.jl
Julia kernel for Jupyter
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
ipyparallel
Interactive Parallel Computing in Python
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
notes
Technical Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Parallel_programming
Basics of parallel programming in Scala
PowerShell
PowerShell for every system!
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
py4e
Web site for www.py4e.com and source to the Python 3.0 textbook
Rice-University-Introduction-to-Scripting-in-Python-Specialization
This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
Scala
Scala tutorial
Spark
Spark tutorial
spyder
Official repository for Spyder - The Scientific Python Development Environment
sqlitebrowser
Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
stashr
A set of tools for administering shared repositories
testit
A simple package for testing R packages
ThinkJava2
LaTeX source for Think Java, 2nd edition, by Allen Downey and Chris Mayfield.
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Uni.-of-Michigan-Web-Applications-for-Everybody-Specialization
Build dynamic database-backed web sites.. Use PHP, MySQL, jQuery, and Handlebars to build web and database applications.
yarn
📦🐈 Fast, reliable, and secure dependency management.