Welcome! This is the repository for all assignments and datasets for Week 1 of the BeaverWorks Medlytics course 2019. All the worksheets are empty; we recommend copying the links to each notebook as needed and importing them into your Colaboratory drive.
We will be working with the National Health and Nutrition Examination Survey (NHANES) dataset this week. There are over 8000 features collected from some 92,000 people, consisting of physical characteristics and survey questions collected every two years. https://drive.google.com/open?id=1WTl0AkNFfJD1dejiDglVbDrSs1tFizko
Contains notebooks for Dataviz (modified by Jeanette Varela from John Passarelli 2018), Github/Collab (modified by Emily Tan from Thomas Possidente 2018), Propensity Score Matching (modified by Andy Kong from Thomas Possidente 2018), Regression (Jeanette Varela and Andy Kong), Supervised Learning Models (modified by Emily Tan from John Passarelli 2018), Data Imputation (Andy Kong), and Case Studies (Jeanette Varela)
Contains the Hepatitus B challenge notebook for the end of week 1. Created by Jeanette Varela