An EDA, Classification, and Analysis of the UCI Heart Disease dataset
- Exploring the UCI Heart Disease dataset
- Identifying notable characteristics
- Predicting Heart Disease
The goal of this project is to predict the occurrence of heart disease in individuals based on a set of features related to their health and lifestyle. This project involves understanding the key factors that contribute to heart disease, which can be beneficial for healthcare professionals in early diagnosis and potential prevention.
We will explore the dataset, train a collection of classifiers, and compare model performances and results.
Video Narration (download using arrow button on top right)
Video narattion is available but recording quality is poor, it is recommended to review the notebook which is well-commented.