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this repository is part of multiple disease prediction system repository

Python 2.81% Jupyter Notebook 97.19%
anaconda kaggle-dataset python spyder-python-ide streamlit-webapp heart-disease-prediction jupyter-notebook jupyter-notebook-python-sav-model

heart-disease-prediction-bot's Introduction

Heart Disease Prediction

Web capture_16-12-2023_151450_localhost Web capture_16-12-2023_151538_localhost

Table of Contents

About

The Heart Disease Prediction project is dedicated to utilizing machine learning models to predict the likelihood of heart disease. This repository contains a collection of files, datasets, and machine learning models tailored for heart disease prediction. These resources aim to facilitate early detection and risk assessment of heart disease, enabling individuals to make informed health decisions.

Files

  1. Heart disease completed.py (working main model): This file contains the primary code for the heart disease prediction model.
  2. Heart disease prediction with pictoblox.sb3: A version of the heart disease prediction model implemented in PictoBlox, a visual programming language.
  3. Heart disease prediction with spyder.py (same as google collab file but just a Spyder version): A Spyder version of the code for heart disease prediction.
  4. Heart_Disease_Prediction.csv: A dataset used for improving prediction scores.
  5. heart.csv: A dataset used for heart disease prediction.
  6. heart_disease_data.csv: Another dataset used in the project.
  7. heart_disease_prediction.py (Google Colab file): A Google Colab version of the heart disease prediction model.

Features

  • Utilizes three different CSV datasets to improve prediction scores.
  • Trained on a logistic regression model.
  • Provides a PictoBlox version for educational purposes and ease of understanding.

Usage

To use the Heart Disease Prediction project, follow these steps:

  1. Choose the appropriate file for your needs: "Heart disease completed.py," "Heart disease prediction with spyder.py," or "heart_disease_prediction.py."
  2. Ensure that you have the required datasets: "Heart_Disease_Prediction.csv," "heart.csv," and "heart_disease_data.csv."
  3. Run the code to predict heart disease based on the provided dataset.

Troubleshooting

If you encounter any issues or have questions, please don't hesitate to reach out for support.

Happy predicting! ๐Ÿค–๐Ÿ’™

Check out the other repositories related to this one

Related Repos which you should check out:-

Web capture_16-12-2023_162935_localhost

Web capture_16-12-2023_16267_localhost

Check out the main repo as this project is part of it

Combined Disease Predictor

Contributors


Sudhanshu Ambastha


Parth Shrivastava


Sarthak Srivastava

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