Predicting-Heart-Problems-Using-LRA

❤️ Predicting Heart Problems Using LRA (Logistic Regression Algorithm)

This project uses the Logistic Regression Algorithm (LRA) to predict the likelihood of heart disease in patients based on various medical attributes. The aim is to assist in early detection and provide actionable insights using data science.

https://web-production-99b87.up.railway.app/

https://dineshkonala.github.io/Predicting-Heart-Problems-Using-LRA/

📊 Project Overview

Objective:

To build a binary classification model that predicts whether a person is likely to have heart disease or not, using Logistic Regression, a popular supervised machine learning algorithm.

Dataset:

• Source: UCI Heart Disease Dataset
• Format: CSV
• Features Include:
  • Age
  • Sex
  • Chest pain type (cp)
  • Resting blood pressure (trestbps)
  • Cholesterol level (chol)
  • Fasting blood sugar (fbs)
  • Maximum heart rate (thalach)
  • and more…

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📂 Project Structure

```bash Predicting-Heart-Problems-Using-LRA/ ├── data_set/ │ └── heart.csv ├── notebook/ │ └── heart_disease_prediction.ipynb ├── src/ │ └── model.py ├── images/ │ └── output_graphs.png ├── requirements.txt └── README.md