https://github.com/soham7998/heart-disease-prediction-ml
Using Various columns from the dataset of heart Disease and try to Predict the Accurate Results .
https://github.com/soham7998/heart-disease-prediction-ml
regression-models
Last synced: 26 days ago
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Using Various columns from the dataset of heart Disease and try to Predict the Accurate Results .
- Host: GitHub
- URL: https://github.com/soham7998/heart-disease-prediction-ml
- Owner: soham7998
- Created: 2024-06-20T05:59:49.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-06-22T09:31:44.000Z (11 months ago)
- Last Synced: 2024-06-22T18:57:26.519Z (11 months ago)
- Topics: regression-models
- Language: Jupyter Notebook
- Homepage:
- Size: 536 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Heart-disease-Prediction-ML
**Through data loading, exploration, visualization, and the application of a logistic regression model to predict heart disease. Each section helps in understanding the data better and evaluating the performance of the predictive model.**
**Splitting Data > Training the model > Evaluating the model > Model Performance > Accuracy Results.**
## a step-by-step guide to:
• Load and inspect the data.
• Visualize distributions and relationships between variables.
• Identify correlations.
• Build and evaluate a logistic regression model to predict heart disease.
• This process helps in understanding the data better and developing a predictive model to
• Identify individuals with heart disease based on various health metrics.
