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Heart Disease Prediction

Pima Indians Diabetes Prediction

Overview

This project predicts heart disease using various machine learning models, including k-NN, Logistic Regression, Decision Tree, Bagging, and AdaBoosting.

Usage

Run the main script:

  • python heart_disease_prediction.py

Follow the on-screen menu to choose between different models and options.

Dataset

Dependencies

  • Pandas
  • NumPy
  • Scikit-learn
  • Matplotlib
  • Seaborn

Custom Functions

  • K-NN Classifier
  • Logestic Regression
  • Decision Tree
  • Bagging Function
  • AdaBoost Function

Data Visualization

  • Histograms, Correlation Matrix, and Box Plots

This example includes essential information like project overview, usage instructions, dataset details, dependencies, custom functions. Customize it further based on your specific project requirements.

About

"Heart disease and diabetes prediction accuracy through Bagging and AdaBoost ensemble methods for enhanced predictive performance."

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