Matt Eland

Government, Social Sector & Education

.NET Software Quality Software Management Software Architecture Angular Project Management JavaScript TypeScript REST Azure Software Development C# F# Vue.js SQL Data Science Machine Learning Python Teaching Teaching Code Jupyter Notebook

Columbus, Ohio, United States

Is Die Hard a Christmas Movie? Let's ask Azure!

When it comes to popular Christmas movies there's a recurring debate as to whether or not that list of movies should include the 1988 film Die Hard. Thankfully, machine learning has been applied to this problem and we have an answer.

We'll start off by using Python, Pandas, and Jupyter Notebooks to analyze and clean movie data and then prepare it for model training while avoiding factors that might introduce bias.

After that we'll explore using the beginner-friendly features of Azure Machine Learning Studio's Automated ML to train and evaluate a classification model.

Finally, we'll deploy the trained model to Azure as a web service and see what it has to say about Die Hard.

By the time we're done you'll know the truth about Die Hard and have a deeper understanding of machine learning experiments and some common beginner-friendly tools involved in machine learning.

Matt Eland

Instructor at Tech Elevator

After several decades as a software engineer and engineering manager, Matt now serves as a software engineering instructor at Tech Elevator where he gets to raise up future developers and unleash them upon the world to build awesome things.

Matt is an Azure Data Scientist Associate, a current organizer for the Central Ohio .NET Developer Group, runs a data science blog and YouTube channel, and is currently pursuing a master's degree in data analytics.

In his copious amounts of spare time, Matt continues to build nerdy things and looks for ways to share them with the community.

Matt's full speaker profile