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

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SatyaA26/Ensemble-Methods

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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.

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