Predict Customer Credit Risk with Azure Machine Learning Studio


Details
This is a hands-on workshop to learn Azure Machine Learning Studio - A drag and drop Machine Learning Tool.
You will learn how to:
- Pre-process and clean input data for training
- Train classification machine learning models
- Evaluate the performance of machine learning algorithms together
- Deploy a machine learning model on a web service to consume later
- Consuming the web service - Sending a request to the model and getting a prediction back on the credit application
IMPORTANT NOTE:
Due to venue requirements, all registrations must be completed on eventbrite (It's free). Meetup RSVPs cannot be considered.
Prereq
- Bring your laptop
This will be a hands-on class so please bring your laptop fully charged!
Spaces for this class will be limited.
Questions you will answer in this workshop:
-
How can I use Azure Machine Learning Services to train and deploy a model on the cloud?
-
How can Azure help me evaluate the performance of several algorithms together?
Agenda:
6:30pm - Registrations, Networking & Refereshments
7pm - 9pm - Code Lab
9pm - 9:30pm - Wrap up & Close
Q&A:
-
What will I need to bring to this workshop?
Your laptop, some snacks, and a charger. You will also need a Microsoft account (Sign up here: https://studio.azureml.net/?selectAccess=true&o=1#). -
I am an absolute beginner. Can I still come?
YES! This is a beginner-friendly workshop. We will explain the concepts as we go along. You only need some familiarity with Python Programming. -
Do I need to pay money for this workshop or Microsoft Azure?
No. This workshop is free and the Microsoft Azure services we use during it are part of the free tier.
Recommended Reading:
Azure Machine Learning Studio
https://azure.microsoft.com/en-gb/services/machine-learning-studio/
The Venue:
Microsoft Reactor has been kind enough to sponsor this event. Check them out:
https://developer.microsoft.com/en-us/reactor/Location/London

Predict Customer Credit Risk with Azure Machine Learning Studio