An interactive app for learning and building intuition for classification tasks in machine learning.
Author: Drew Byron. [email protected]. github. linkedin.
Goal: You work for the CDC and you are tasked with creating a model that suggests whether or not one should be screened for heart disease.
Dataset: The data we will use to construct the model comes from the 2015 Behavioral Risk Factor Surveillance System (BRFSS) Public health surveys, conducted by the CDC. The cleaned dataset and details on all features can be found here. Thanks to Alex Teboul for cleaning the data.
Desired Learning Outcome: Gain intuition for machine learning concepts by considering the real world problem of creating a machine learning model for suggesting whether or not one should be screened for heart disease based on lifestyle and health metrics.
Click below to open the app!
