Business Analytics & Data Science
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Business Analytics & Data Science
Current topics in Data Analytics, Data Mining, Machine Learning, Visualization, Predictive Analytics & Business Intelligence
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elasticsearchr – a Lightweight Elasticsearch Client for R

elasticsearchr – a Lightweight Elasticsearch Client for R | Business Analytics & Data Science | Scoop.it
elasticsearchr: a Lightweight Elasticsearch Client for R Elasticsearch is a distributed NoSQL document store search-engine and column-oriented database, whose fast (near real-time) reads and powerful aggregation engine make it an excellent choice as an 'analytics database' for R&D, production-use or both. Installation is simple, it ships with sensible default settings that allow it to work…
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How Bayesian inference works

How Bayesian inference works | Business Analytics & Data Science | Scoop.it
Bayesian inference is a way to get sharper predictions from your data. It’s particularly useful when you don’t have as much data as you would like and want to juice every last bit of predictive strength from it. Although it is sometimes described with reverence, Bayesian inference isn’t magic or mystical. And even though the math under the hood can get dense, the concepts behind it are completely accessible. In brief, Bayesian inference lets you draw stronger conclusions from your data by folding in what you already know about the answer.
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Scraping Google Scholar to write your PhD literature chapter

Scraping Google Scholar to write your PhD literature chapter | Business Analytics & Data Science | Scoop.it

 This post is about a prototype ‘network’ approach to finding papers using data from Google Scholar, hopefully pointing to what could be done with more open data. I was able to use a supervised program searching on Google Scholar to extract my data, but a scalable version of this tool would require open data.

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A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair)

A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair) | Business Analytics & Data Science | Scoop.it
Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlas's Altair, a promising young visualization library. Altair seems well-suited to addressing Python's ggplot envy, and its tie-in with JavaScript's Vega-Lite grammar means that as the latter develops new functionality (e.g., tooltips and zooming), Altair benefits -- seemingly for free! Indeed, I was so…
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R Notebooks

R Notebooks | Business Analytics & Data Science | Scoop.it

Today we’re excited to announce R Notebooks, which add a powerful notebook authoring engine to R Markdown. Notebook interfaces for data analysis have compelling advantages including the close association of code and output and the ability to intersperse narrative with computation. Notebooks are also an excellent tool for teaching and a convenient way to share analyses.

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An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow | Business Analytics & Data Science | Scoop.it
An introduction to implement neural networks using TensorFlow. It covers applications of neural networks, introduction to Tensorflow & a practice problem
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15 Deep Learning Tutorials

15 Deep Learning Tutorials | Business Analytics & Data Science | Scoop.it
This reference is a part of a new series of DSC articles, offering selected tutorials on subjects such as deep learning, machine learning, data science, deep d…
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19 Data Science Tools for people who aren't so good at Programming

This article highlights 19 tools which automate data science / machine learning and eliminate programming skills used in model building.

Programming is an integral part of data science. Among other things, it is considered that a mind which understands programming logic, loops, functions has higher chances of becoming a successful data scientist. So, what about people who never studied programming subject in their school or college ?

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Using Google Charts  |  Charts
 |  Google Developers

Using Google Charts  |  Charts<br/>       |  Google Developers | Business Analytics & Data Science | Scoop.it
Our gallery provides a variety of charts designed to address your data visualization needs. These charts are based on pure HTML5/SVG technology (adopting VML for old IE versions), so no plugins are required. All of them are interactive, and many are pannable and zoomable.
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Welcome. The R Journal

Welcome. The R Journal | Business Analytics & Data Science | Scoop.it
The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that might be of interest to users or developers of R
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Data Scientist with a wine hobby (Part I) - Pareto's Playground

Data Scientist with a wine hobby (Part I) - Pareto's Playground | Business Analytics & Data Science | Scoop.it
After high school I made my way from Johannesburg, situated in the northern part of South Africa, to the famous wine country known as Stellenbosch in the south. Here for the first time I got a ton of exposure to wine and the countless varietals that make up this “drink of the gods”. The one trick in wine tasting and exploring vini- and viticulture is the fact that the best way to learn about it all is going out to the farm and drinking the wine for yourself. Over the years I have become familiar with all the farms in the region and it can sometimes be a real prize when discovering a cellar which you have not visited.
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Introduction to Random forest – Simplified

Introduction to Random forest – Simplified | Business Analytics & Data Science | Scoop.it
This article explains how does a Random forest work? And is explained using a simple case study.
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The Guide to Learning Python for Data Science

The Guide to Learning Python for Data Science | Business Analytics & Data Science | Scoop.it

Python is widely used for data analysis and you might have considered learning it yourself (if not, or if you’re still looking for that bit of extra motivation to get started, see why you should be learning Python below). Of course, learning on your own can be a challenge and some guidance is always helpful. Guidance to learn Python for working with data is exactly what this article will provide you with. We will discuss steps you should take for learning Python accompanied with some essential resources, such as the free Python for Data Analysis courses and tutorials from DataCamp as well as reading and learning materials.

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How to add a background image to ggplot2 graphs

How to add a background image to ggplot2 graphs | Business Analytics & Data Science | Scoop.it
When producing so called infographics, it is rather common to use images rather than a mere grid as background. In this blog post, I will show how to use a
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Data Science LABrary - Machine Learning - Opinion Mining
Extraction of opinions from free text

Data Science LABrary - Machine Learning - Opinion Mining<br/>Extraction of opinions from free text | Business Analytics & Data Science | Scoop.it
There’s a lot of buzzword around the term “Sentiment Analysis” and the various ways of doing it. Great! So you report with reasonable accuracies what the sentiment about a particular brand or product is.
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The R graph Gallery

The R graph Gallery | Business Analytics & Data Science | Scoop.it

Inspiration and Help concerning R graphics.

Welcome to the R graph gallery! Looking for inspiration or help concerning data visualisation with R? Here you will find lots of plots made using it, always with the associated code! I hope you will find the information you are looking for.

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Text Mining in R and Python: 8 Tips To Get Started

Get started on extracting insights from texts in R and Python with these 8 tips.
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ggplot2 as a Creativity Engine

ggplot2 as a Creativity Engine 

At the 2016 EARL London conference senior data-visualisation journalist John Burn-Murdoch, described how the Financial Times uses R to produce high-quality, striking data visualisations.

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Complete guide to create a Time Series Forecast (with Codes in Python)

Complete guide to create a Time Series Forecast (with Codes in Python) | Business Analytics & Data Science | Scoop.it
Steps to create a forecast on Time series data, by checking stationarity, dickey-fuller test & ARIMA (Auto regressive, moving average) models
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Introducing Radiant: A shiny interface for R

News about Radiant: A platform-independent browser-based interface for business analytics in R, based on the Shiny package.
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GoodReads: Webscraping and Text Analysis with R (Part 1)

GoodReads: Webscraping and Text Analysis with R (Part 1) | Business Analytics & Data Science | Scoop.it

Inspired by this article about sentiment analysis and this guide to webscraping, I have decided to get my hands dirty by scraping and analyzing a sample of reviews on a website.

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lukemiller.org» Blog Archive » rtide: a R package for predicting tide heights (US locations only currently)

lukemiller.org» Blog Archive » rtide: a R package for predicting tide heights (US locations only currently) | Business Analytics & Data Science | Scoop.it
Joe Thorley at Poisson Consulting has released a new R package, rtide, (on which I am listed as a co-author) that provides the ability to predict future (and past) tide heights for 637 different tide stations in the United States and associated territories. The underlying data, consisting of tide harmonic constituents, are collected and released by the National Oceanic and Atmospheric Administration. The author of the definitive open source tide prediction software, XTide, collates those harmonic data into a usable format, and we have harvested the data to create the rtide package which operates in R without the need to have XTide installed.
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Tapping Twitter Sentiments: A Complete Case-Study on 2015 Chennai Floods

Tapping Twitter Sentiments: A Complete Case-Study on 2015 Chennai Floods | Business Analytics & Data Science | Scoop.it
This case study is based on Chennai Floods 2015 and measures people's sentiments during he floods by analyzing the response on twitter.
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Python Modules for Data Science & Analytics

Python Modules for Data Science & Analytics | Business Analytics & Data Science | Scoop.it
A collection of important python modules for data scientists
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