This project encompasses an explorative use of diverse Python-based machine learning and data science libraries, with the aim of architecting a predictive machine learning model. The goal? To predict the likelihood of heart disease in individuals, informed by their specific medical characteristics. The dataset leveraged in this endeavor is sourced from the esteemed UCI Machine Learning Repository. Check out the Github repository for more information of the code and data behind this project. Below are some snapshots of the data analysis and model evaluations from the jupyter notebook of this project as well as where the data was sourced from.