Data Science Austria

Tutorial: Sequential Pattern Mining in R for Business Recommendations

by Allison Koenecke, Data Scientist, AI & Research Group at Microsoft, with acknowledgements to Amita Gajewar and John-Mark Agosta. In this tutorial, Allison Koenecke demonstrates how Microsoft could recommend to customers the next set of services they should acquire as they expand their use of the Azure Cloud, by using … Read moreTutorial: Sequential Pattern Mining in R for Business Recommendations

Comparing Python Virtual Environment tools

Thanks to Keith Smith, Alexander Mohr, Victor Kirillov and Alain SPAITE for recommending pew, venv and pipenv. I just love the community that we have on Medium. I recently published an article on using Virtual Environments for Python projects. The article was well received and the feedback from readers opened … Read moreComparing Python Virtual Environment tools

Mandalaxies

One cannot escape the feeling that these mathematical formulas have an independent existence and an intelligence of their own, that they are wiser than we are, wiser even than their discoverers (Heinrich Hertz) I love spending my time doing mathematics: transforming formulas into drawings, experimenting with paradoxes, learning new techniques … … Read moreMandalaxies

PyViz: Simplifying the Data Visualisation process in Python.

Exploring Data with PyViz In this section, we will see how different libraries are effective in bringing out different insights from data and their conjunction can really help to analyse data in a better way. Dataset The dataset being used pertains to the number of cases of measles and pertussis recorded … Read morePyViz: Simplifying the Data Visualisation process in Python.

4 Machine Learning Techniques with Python

4 Machine Learning Techniques with Python Machine Learning Techniques vs Algorithms While this tutorial is dedicated to Machine Learning techniques with Python, we will move over to algorithms pretty soon. But before we can begin focussing on techniques and algorithms, let’s find out if they’re the same thing. A technique … Read more4 Machine Learning Techniques with Python

recogeo: A new R package to reconcile changing geographies boundaries (and corresponding variables)

Demographics information is usually reported in relation to precise boundaries: administrative, electoral, statistical, etc. Comparing demographics information reported at different point in time is often problematic because boundaries keep changing. The recogeo package faciliates reconciling boundaries and their data by a spatial analysis of the boundaries of two different periods. … Read morerecogeo: A new R package to reconcile changing geographies boundaries (and corresponding variables)

Using Image Data to Determine Text Structure

Painting by Patrick Henry Bruce Dotting the i’s and following the lines In my previous article, I discussed how to implement fairly simple image processing techniques in order to detect blobs of text in an image. Realistically, that algorithm did little more than find high contrasting pixel regions in an image. Yet, … Read moreUsing Image Data to Determine Text Structure