MATLAB for the WiDS Datathon | Grace Woolson & Wynter Duncanson, MathWorks
This workshop is designed to equip attendees with all the skills necessary to compete in the WiDS Datathon. Using the challenge dataset, we will show how you can import and work with tabular data, explore the relationships between different variables in the dataset, and process the data to make a cleaner, more helpful dataset. We will then walk through the process of quickly building and testing machine learning models for the challenge. By the end of this workshop, participants should have everything they need to create their own algorithms to accurately predict whether a patient with metastatic breast cancer was properly diagnosed within 90 days.
Link to Tutorial: https://blogs.mathworks.com/student-l...
Learn more about WiDS Workshops: https://www.widsworldwide.org/learn/u...
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