How I Beat the Berlin Rental Market With A Python Script
tl;dr: Gian runs us though an analytics tool that evaluates units in the Berlin rental market. The output analyzes each unit compared in price to its neighbor, the likeliness of a price increase for that unit, and the unit selling out within 6 hours.
featured in #229
Space Science with Python - A Data Science Tutorial Series
tl;dr: "A tutorial series that links Space Science with Python."
featured in #186
Code As Craft: Understand The Role Of Style In E-commerce Shopping
tl;dr: Overview of how Etsy built a ML tool that analyzes a user's taste and subsequently generates personalized recommendations.
featured in #150
The Origin Story Of Data Science
tl;dr: How Data Science grew as a discipline, along with the contributions of 4 individuals who helped create and shape it.
featured in #146
How To Balance The Tension Between Data Science And Agile
tl;dr: Although specific deadlines are not alway possible with Data Scientists, flexible timelines & goal setting are. Trust & communication are key. Work in short cycle so DS aren't siloed for long.
featured in #133