https://github.com/27ahmad/heart-disease-diagnostic-eda

This project conducts Exploratory Data Analysis on a dataset related to heart diagnostic disease, aiming to derive valuable insights from the analysis.
https://github.com/27ahmad/heart-disease-diagnostic-eda

data-analysis data-visualization pandas python

Last synced: 15 days ago
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This project conducts Exploratory Data Analysis on a dataset related to heart diagnostic disease, aiming to derive valuable insights from the analysis.

• Host: GitHub
• URL: https://github.com/27ahmad/heart-disease-diagnostic-eda
• Owner: 27ahmad
• Created: 2024-05-10T05:05:12.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-10T05:24:15.000Z (9 months ago)
• Last Synced: 2024-05-10T06:29:13.967Z (9 months ago)
• Topics: data-analysis, data-visualization, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 229 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Heart Disease Diagnostic EDA

This project delves into a dataset focused on heart diagnostic disease to extract crucial insights. By analyzing factors such as medical history and lifestyle, we aim to uncover patterns and correlations. These findings can inform medical practitioners and researchers, guiding diagnostic and preventive strategies.

## Methodology

- Obtaining a statistical overview of the dataset.

- Generating a correlation matrix to identify relationships between attributes.

- Utilizing seaborn and matplotlib for data visualization to get additional insights.

- Employing machine learning algorithms to forecast heart disease.