Name: Ian Douglas
Type: User
Bio:
Data Scientist specializing in machine learning, generating insights, data visualization/dashboards, & statistical theory/inference. Python, R, SQL and linux.
Location: Austin, TX
Blog: ijdouglas.github.io
Ian Douglas's Projects
Recipes Steps for Supervised Filter-Based Feature Selection
HUDM 6026: Computational Statistics, Spring '19, TC, CU
Machine Learning Models of Joint Attention Using Computer Vision
DAN Lab repo containing ELFK Data Merge project
code related to 3-D eye tracking
Data analysis of fragile families longitudinal study (Columbia/Princeton)
All code for: Using Gastrointestinal Distress Reports to Predict Youth Anxiety Risk: Implications for Mental Health Literacy and Community Care
misleading verb study
Decoding analysis of early-life adversity's impact on grey matter development
HUDM 6122 Spring 2019
Introductory Python Series for UC Berkeley's D-Lab
Overview of the functionality of the Random Forest algorithm
Scrape reddit posts or comments, analyze images posted. Build a model and predict the number of likes for a new image posted to the subreddit.
Scenic: A Jax Library for Computer Vision Research and Beyond
Time series visualization and processing tool kit.
Collection of sub-repositories with boilerplate code for different analyses, jobs, or projects
Repo of reusable (and/or recycled) functions for producing common visualizations