In this project, I will be following a guided lesson to learn more about using the tidymodels package in R for machine learning. The overarching aim of this project is to build, tune, compare and evaluate multiple machine learning models to examine the effect of patient demographic factors and clinical records (HbA1c level, number of diagnosis, length of stay) on the likelihood of readmission within 30 days of discharge.

coba aja

Peer Assessment for Coursera's "Reproducible Research"