Heather Van Tassel's Projects
Library for analysis of co-occurrences in sequence for alignment
This package cleans a dataset and returns summary statistics as well as number, proportion and location of NA values for string and number column inputs. Data cleaning made easy!
CleanR - MDS 524
Example to work with Cortex API
Visualizing cancer incidence in Canada with Shiny
522 lab 1 project
This is reflection piece on Michal Kosinski's talk https://www.youtube.com/watch?v=NesTWiKfpD0 and a discussion of the state of privacy and how we should be thinking about the use and implications of AI for making inferences about people.
My personal blog
Mental Health survey responses from people working in the tech field. Visualizations and shiny app to explore the data.
Various python tests in to identify and describe multi-modal data distributions.
Enhance your images right in the IDE
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python port of the Unidip clustering algorithm from: http://www.kdd.org/kdd2016/subtopic/view/skinny-dip-clustering-in-a-sea-of-noise