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    1. Elastacloud Channels
    2. Championing Data Science
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    Championing Data Science

    How Elastacloud are changing the face of Data Science, as well as tips, tricks, and best practices.

    Andrew Booth

    Deploying machine learning models with the Microsoft Azure ML service

    Microsoft have recently released an updated version of their Azure Machine learning service. At Elastacloud we have been using AML since the first release to deploy machine learning models to the clou
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    Recent Activity:
    Nov 06, 2018
    ayo

    Presenting Data Science from the Cloud with Azure Notebooks

    I have had the opportunity to speak at various DataScience MeetUp events in Nottingham, Loughborough and London. Typically, rather than use the usual PowerPoint presentation, I prefer running LIVE cod
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    Recent Activity:
    May 17, 2018
    darshna

    Data imputation in R and Python

    Missing data is problematic for machine learning models. The majority of models do not run when missing values are present. Although there are a few algorithms (e.g. k-nearest neighbours) that can
    #generate #visualise #check #since #get 
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    Recent Activity:
    Apr 18, 2018
    ayo

    Piping hot - scikit-learn's Pipelines

    As data scientists, time and again, we need to perform tasks which follow some form of sequence. A general example could be Extract data, Pre-process the data and then train a model. Pipeline helps
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