Domino Data Science Blog
Casson Stallings
Casson Stallings is a Principal Data Scientist at Metabolon. Previously, Casson was a Senior Data Science Consultant at Mammoth Data. Casson taught and mentored students and consulted with numerous clients in a variety of fields. He has recently been developing Monte Carlo statistical models, mining large financial datasets for interesting data stories, and building geo-referenced databases for predictive modeling.
Getting error bounds on classification metrics
Error bounds, or lack thereof
By Casson Stallings11 min read
Crunchbase network analysis with Python
Crunchbase recently converted its backend database to a Neo4j graph database. This will give it great flexibility in the future, but for now, the data is exposed similarly to how it always has been: individual entities are retrieved and attribute data must be used to form edges between them prior to any graph analysis. Aside from traversing links manually on the web pages, there are no provisions for graph analysis.
By Casson Stallings6 min read
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