Loan data analysis using Azure ML

Here’s my first AzureML model: http://gallery.azureml.net/Details/6f058343b2224057a8ae259311f7ed31.  The model uses a two class logistic regression algorithm for binary classification. This is based on Python based sample from learnds.com. It leverages various AzureML Studio components as well as custom R code for data cleansing and feature engineering. Here are the various steps I followed to get the model …

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Loan data analysis

Getting Started with Azure ML Studio

Microsoft has released Azure machine learning studio which is a browser based integrated development environment for constructing and operationalizing machine learning workflow on azure.  You can find more details about the tool here – https://studio.azureml.net/. We at springML love programming models in R and Python.  These programming languages along with the myriad of supporting libraries provide …

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Azure ML Studio

ML Tools

When working on a machine learning problem, one follows the following high level steps. Gathering and exploring data Prototype and build models; evaluate and select best model Deploy model so that it’s accessible as a web service Visualization to consume output of models The below table shows a quick grouping of the tools available for each …

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ML Tools

What does “ML” in springML stand for?

ML stands for Machine Learning.  Wikipedia quotes Arthur Samuel who defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed.”  In common words, Machine Learning provides software tools and framework to detect trends and predict future events.  Machine Learning and Data Science are used somewhat interchangeably and have …

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Welcome to springML’s blog.  We are passionate in the field of analytics and wish to write about topics such as the below: Latest trends in the world of machine learning Analytics platforms including Salesforce Wave, Azure ML, Domo, etc ETL and Integration design patterns We intend to demystify the various buzzwords and the numerous analytics technologies …

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