https://github.com/mehradi-github/ref-jupyter-datapreparation

Data preparation on Heart Disease Dataset from UCI
https://github.com/mehradi-github/ref-jupyter-datapreparation

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Data preparation on Heart Disease Dataset from UCI

• Host: GitHub
• URL: https://github.com/mehradi-github/ref-jupyter-datapreparation
• Owner: mehradi-github
• Created: 2025-11-03T06:07:59.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-11-03T06:40:23.000Z (8 months ago)
• Last Synced: 2025-11-03T08:22:35.903Z (8 months ago)
• Language: Jupyter Notebook
• Size: 4.88 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Data Preparation for the UCI Heart Disease Dataset

This notebook walks through the step-by-step data preparation process for the "processed.cleveland.data" file from the UCI Machine Learning Repository.

## **The main preparation tasks are**:

1.  **Load Data:** Load the dataset from the web and assign the correct column names.

2.  **Handle Missing Values:** The dataset uses `'?'` for missing data. We will replace these and impute them.

3.  **Transform Target Variable:** Convert the multi-class target (0-4) to a binary target (0 vs. 1).

4.  **Encode & Scale Features:** Use `ColumnTransformer` to properly one-hot encode categorical features and scale numerical features.