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

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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 (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-11T05:48:11.000Z (6 months ago)
• Last Synced: 2024-07-11T06:58:42.498Z (6 months ago)
• Topics: machine-learning-projects, projects
• Language: Jupyter Notebook
• Homepage:
• Size: 490 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• 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