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Ellen Wang's Projects

data-science-capstone icon data-science-capstone

This course will start with the basics, analyzing a large corpus of text documents to discover the structure in the data and how words are put together. It will cover cleaning and analyzing text data, then building and sampling from a predictive text model. Finally, you will use the knowledge you gained in data products to build a predictive text product you can show off to your family, friends, and potential employers.

datasciencecoursera icon datasciencecoursera

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

introductiontoprobabilitypy icon introductiontoprobabilitypy

Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition

mimic-code icon mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mimic4ed-benchmark icon mimic4ed-benchmark

Python workflow for generating benchmark datasets and machine learning models from the MIMIC-IV-ED database.

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