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Update README.md
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sehroz authored Oct 29, 2024
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Directory contains the Jupyter notebooks for analyzing the heart failure prediction dataset.

### 1. Data Cleaning (`01_data_cleaning_heart_failure.ipynb`)
### 1. Data Cleaning (`data_cleaning_heart_failure.ipynb`)
- Initial data loading and inspection
- Data cleaning steps:
- Removed records with invalid Cholesterol (0)
- Removed records with invalid RestingBP (0)
- Reduced dataset from 918 to 746 records

### 2. Data Visualization (`02_data_visualization.ipynb`)
### 2. Data Visualization (`data_visualization.ipynb`)
- Uses cleaned data from notebook 1
- Created visualizations:
- Age distribution by heart disease status
- Correlation heatmap of key features
- Gender distribution analysis
- Saved visualizations to `data/figures/`
- Saved visualizations to `data/figures/`

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