https://github.com/arpan132002/heart-disease-classification-model
A Machine Learning project to detect heart related diseases in patients by measuring various health factors using various ML algorithms
https://github.com/arpan132002/heart-disease-classification-model
machine-learning-projects projects
Last synced: about 1 year ago
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A Machine Learning project to detect heart related diseases in patients by measuring various health factors using various ML algorithms
- Host: GitHub
- URL: https://github.com/arpan132002/heart-disease-classification-model
- Owner: arpan132002
- Created: 2024-06-05T15:18:10.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-11T05:48:11.000Z (almost 2 years ago)
- Last Synced: 2025-01-30T17:38:51.258Z (over 1 year ago)
- Topics: machine-learning-projects, projects
- Language: Jupyter Notebook
- Homepage:
- Size: 490 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
In this notebook, I intend to analyze data related to cardiac features of patients from the "heart.csv" dataset. This dataset provides various information about patients, including age, gender, blood pressure, cholesterol levels, electrocardiographic (ECG) features, and more.
Dataset Information:
This dataset includes the following features:
age: The age of the patient.
sex: Gender of the patient (0: female, 1: male).
cp: Type of chest pain.
trestbps: Resting blood pressure.
chol: Serum cholesterol.
fbs: Fasting blood sugar > 120 mg/dl.
restecg: Resting electrocardiographic results.
thalach: Maximum heart rate achieved.
exang: Exercise induced angina.
oldpeak: ST depression induced by exercise relative to rest