Category «data science»

Analyzing The Wisconsin Breast Cancer Dataset With Azure ML Studio

Frank Mendoza of  Catalytics  gave a presentation on analyzing the same Wisconsin Cancer Data Set that we presented with the HealthCare.AI toolkit in November 2017.  It was interesting to see how Azure Machine Learning works at a higher level with intuitive, graphical predictive analysis as compared to Healthcare.AI.  I intend to add Azure Machine Learning …

HealthCare.AI (Python version) based on Python sk-learn library

On October 30, 2017, Dan Wellisch, presented the Python version of the HealthCare.AI open source library.  He went through a basic example of a diabetes data set where the goal was to predict 30 day re-admissions for diabetes patients.  He discussed the process of training several models, selecting the highest performance one, saving that model, …

Simple Linear Regression: Step By Step

On September 26, 2017, Dan Wellisch, Organizer of the Chicago Technology For Value-Based Healthcare Meetup, presented a detailed breakdown of the Linear Regression Model.  The Linear Regression Model is the first model that gets taught to Data Science students.  In its simplest form, there are 2 variables, an input (or feature) variable and an output …