https://github.com/srikarveluvali/heart-disease-prediction-ml

This machine learning project aims to predict the presence or absence of heart disease in individuals based on a set of health-related features. By utilizing a dataset containing information about patients, we employ various machine learning techniques and data analysis to build a predictive model.
https://github.com/srikarveluvali/heart-disease-prediction-ml

exploratory-data-analysis machine-learning python scikit-learn

Last synced: 1 day ago
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This machine learning project aims to predict the presence or absence of heart disease in individuals based on a set of health-related features. By utilizing a dataset containing information about patients, we employ various machine learning techniques and data analysis to build a predictive model.

• Host: GitHub
• URL: https://github.com/srikarveluvali/heart-disease-prediction-ml
• Owner: SrikarVeluvali
• Created: 2023-10-28T06:37:25.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-28T06:43:26.000Z (about 1 year ago)
• Last Synced: 2024-11-22T17:51:16.560Z (2 months ago)
• Topics: exploratory-data-analysis, machine-learning, python, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 316 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Heart Disease Prediction using Machine Learning

## Overview

This project is my first end-to-end machine learning project. It is designed for predicting the presence or absence of heart disease in individuals using a variety of health-related features. The goal is to provide a tool for early detection and risk assessment of heart disease.

## Data Overview

We begin by exploring and analyzing the dataset, gaining insights into the relationships between different health indicators and heart disease.

## Getting Started

To get started with this project, you will need to clone this repository to your local machine. You can do so using the following command:

```bash

git clone https://github.com/SrikarVeluvali/Heart-Disease-Prediction-ML.git

```

## Running the Code

For running the code, we recommend using Jupyter Notebook for running the provided notebooks. You can install Jupyter Notebook using the following:

```bash

pip install jupyter

```

Once installed, you can open a notebook by running:

```bash

jupyter notebook

```

## Model Evaluation

We have trained a machine learning model to predict heart disease. Model evaluation includes various metrics, such as accuracy, a confusion matrix, and a classification report, to assess its performance.

## User-Friendly Interface

An interactive feature has been added to this project, allowing users to input their health data and receive a prediction regarding their risk of heart disease.

## Disclaimer

While this project provides valuable insights and predictions, it is not a substitute for professional medical advice. For personalized medical guidance, it is essential to consult healthcare professionals.

## Acknowledgments

We acknowledge and thank the open-source community, data providers, and healthcare professionals whose work has made this project possible.

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Enjoy exploring this project and assessing your risk of heart disease!

For questions or feedback, please contact [Srikar Veluvali].