Predicting House Prices with Azure Machine Learning
Everyone’s talking about ML, but what is it?
We’ll start off with a brief explanation of ML, including an overview of the different types (supervised, unsupervised, reinforcement) and algorithms (clustering, classification, regression, anomaly detection).
The majority of the time will be spent giving a detailed demo using Azure ML Studio to create a model for accurately predicting house prices based on their various qualities. This data will be exposed via a web service allowing for single requests as well as batch execution for large data sets.
You’ll leave with a good understanding of Azure ML and how you can use Azure ML Studio to build your own predictive models
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About dotnetsheff
dotnetsheff is a monthly user group focused on software development, particularly in the .NET ecosystem. We welcome people with interests in software development of all ages and levels of experience. Please get in touch via Twitter (@dotnetsheff) or email (organisers at dotnetsheff.co.uk) if you or someone you know may be interested in speaking.