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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

    Discussion 
    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 6, 2018
    ayo

    Presenting Data Science from the Cloud with Azure Notebooks

    Discussion 
    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

    Discussion 
    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

    Discussion 
    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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    Recent Activity:
    Jan 26, 2018
    ayo

    Towards Developing a Shiny App

    Discussion 
    Shiny is an R package that makes it easy to build interactive web apps straight from R. I came across shiny apps early this year (2017) whilst looking at various ways of productionizing Data Scienc
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    Recent Activity:
    Dec 8, 2017
    darshna

    Operationalising Data Science Part 1: Run R on SQL Server

    Discussion 
    The ability to execute R scripts on SQL Server provides data scientists with a powerful way to operationalise data science. In a Microsoft blog written earlier this year it was explained “SQL Serve
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    Recent Activity:
    Nov 8, 2017
    bianca

    A stroll through amazing R Packages: the HERE package !

    Discussion 
    Have you ever used setwd("pathtofolder") at the beginning of an R script? Are you pasting folder names and paths into string to read multiple files from your folder? Have you ever wondered if the
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    Recent Activity:
    Oct 19, 2017
    Andrew Booth

    Shiny Leaflet maps

    Discussion 
    Visualising data is an important part of the data science life cycle and any data scientist should know how to create good visualisations of different types of data. Recently I have been working with
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    2
    Recent Activity:
    Oct 12, 2017
    darshna

    Data Shaping for Neural Networks & Recurrent Neural Networks

    Discussion 
    Briefly, neural networks make predictions via forward propagation, whereby information advances in a single direction from the input nodes, through any hidden layers to the output nodes and the dot
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    Recent Activity:
    Oct 8, 2017
    ayo

    Mining the @elastacloud twitter handle

    Discussion 
    At Elastacloud, it is important for us to let people know what goes on on a day to day basis. We use social media tools (e.g. Twitter), Channels and other avenues to showcase what the awesome stuff we
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    Recent Activity:
    Sep 15, 2017
    darshna

    A peek into xgboost with Python

    Discussion 
    Extreme Gradient Boosting (xgboost) is a very fast, scalable implementation of gradient boosting that has taken the data science world by storm, with xgboost regularly online data science competiti
    #xgbregressor #rmse 
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    Recent Activity:
    Jun 6, 2018
    ayo

    Natural Language Processing with TextBlob()

    Discussion 
    I just rounded up a project with a client that centred around Natural Language Processing. One of the things I enjoy about working at Elastacloud is the diversity of projects on a week to week basi
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    2
    Recent Activity:
    May 17, 2018
    Andrew Booth

    data.table package for fast data analysis in R

    Discussion 
    I am a self confessed convert to the tidyverse way of doing data import, tidy and analysis in R, making use of packages such as stringr, dplyr and purrr every day. However, I have recently found th
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    2
    Recent Activity:
    Apr 16, 2018
    laura

    Azure Notebooks for R & Python

    Discussion 
    If you are learning R or Python, you may be interested in knowing more about different platforms that you can use to write your code and run it. When you are starting, your preference would be to get
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    2
    Recent Activity:
    Jan 25, 2018
    darshna

    Operationalising DS 2: pros and cons of using R in SQL

    Discussion 
    My last post demonstrated a successful use case of executing R scripts as a stored procedure on SQL Server . The main advantage of using R in SQL Server is that is moves intelligent analytical cap
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    2
    Recent Activity:
    Nov 14, 2017
    laura

    Project Template for Data Science in R

    Discussion 
    Every time that you start a new project in Data Science, you need to create several folders to locate the different inputs and outputs of your project. So, for each project, you need to decide wher
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    Recent Activity:
    Oct 25, 2017
    darshna

    Data enrichment: weather data with the darksky R package

    Discussion 
    Enriching data sets is common activity carried out in data science projects, whereby new data sources such as demographic, social media, geospatial and weather data are obtained to provide better i
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    1
    Recent Activity:
    Oct 15, 2017
    Sandy May

    Azure ML Workbench Data Prep

    Discussion 
    The new version of Azure Machine Learning has been released; with a desktop application as well, the Azure ML Workbench. One of the standout features for me is the ease in which data can now be quickl
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    2
    Recent Activity:
    Oct 8, 2017
    Andrew Booth

    Academia to Data Science

    Discussion 
    As it approaches a year since I joined ElastaCloud as a Data Scientist I have been thinking about how working here compares to my previous life as a research associate in academia. There are many diff
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    Recent Activity:
    Sep 22, 2017
    ayo

    Investigating the XDA Package

    Discussion 
    I stumbled upon a package in R just last week called the xda package. Typically in R, there are several ways of performing exploratory analysis. Data scientists know that the initial look into your da
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    1
    Recent Activity:
    Sep 11, 2017
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