elcaiseri / Heart-Disease-Classification

Predict whether the presence of heart disease in the patient using several machine learning algorithms with EDA && Visualizations.

Heart Disease - Classifications

This repository involves exploratory data analysis (EDA), visualizations, and the prediction of the presence of heart disease in patients using several machine learning algorithms.

Table of Contents

• Introduction
• Data Preparation
• Visualization
• Machine Learning
• Dataset
• Results
• Kaggle Link

Introduction

The project aims to predict the presence of heart disease in patients using various machine learning algorithms. Exploratory data analysis (EDA) and visualizations are performed to gain insights into the data.

Data Preparation

The dataset used for this project is named "heart.csv."

Visualization

EDA and visualizations are carried out to understand the data distribution and relationships between features.

Machine Learning

Several machine learning algorithms are employed to predict heart disease presence in patients.

Dataset

The dataset used in this project is "heart.csv."

Results

Comparison results of the machine learning algorithms used for prediction are provided.

Kaggle Link

Find more about the project on Kaggle at Heart Disease - Classifications.

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