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Mining Campaign Funds
Aired on agosto 02, 2017
Play with 2016 Presidential Campaign finance data while learning how to prepare a large dataset for machine learning by processing and engineering features. This sample experiment works on a 2.5 GB dataset and will take about 20 minutes to run in its entirety.
Inside the Data Science VM
Aired on junio 21, 2016
DSVM is a custom Azure Virtual Machine image that is published on the Azure marketplace and available on both Windows and Linux. It contains several popular data science and development tools both from Microsoft and from the open source community all pre-installed and pre-configured and ready to use. We will cover best practices that would show how you can use the DSVM effectively to run your next data science or analytics project.
Predictive Maintenance Modeling
Aired on julio 05, 2016
Predictive maintenance is one of the top demanded applications of predictive modelling and is seen as a life-saver in asset-heavy industries such as manufacturing and aerospace due to its potential to provide significant cost savings by reducing downtime due to mechanical problems. We will share what data science techniques are best equipped for this sort of analytics.
1
Getting Started

Take a quick tour of the Azure ML Studio features.

2
Getting and Saving Data

Get, upload, and save data to your workspace.

3
Preprocessing Data

Clean, transform, and normalize your data.

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Predictive Modeling

Learn the steps required for building, scoring and evaluating a predictive model.

5
Publish a Predictive Model

Publish and stage your predictive model as an Azure-based service.

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