https://github.com/naveen88112/healthcare
HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.
https://github.com/naveen88112/healthcare
data-visualization feature-engineering machine-learning model-evaluation numpy pandas python scikitlearn-machine-learning
Last synced: 3 months ago
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HealthCare Data Analysis and Forecasting This project examines healthcare data by processing missing values with KNN imputation, preprocessing features, and training classification models (Logistic Regression and Random Forest). The output includes performance metrics such as accuracy, confusion matrix, precision, recall, and ROC analysis.
- Host: GitHub
- URL: https://github.com/naveen88112/healthcare
- Owner: Naveen88112
- Created: 2025-03-11T08:14:04.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-11T08:35:59.000Z (3 months ago)
- Last Synced: 2025-03-11T09:35:09.509Z (3 months ago)
- Topics: data-visualization, feature-engineering, machine-learning, model-evaluation, numpy, pandas, python, scikitlearn-machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 147 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0