Baselight

Heart Disease Prediction

Exploratory Data Analysis (EDA) and Machine Learning Modeling

@kaggle.rashadrmammadov_heart_disease_prediction

About this Dataset

Heart Disease Prediction

Description:

This dataset contains information related to individuals and their risk factors for heart disease. The data includes demographic information such as age and gender, as well as medical history, lifestyle factors, and symptoms associated with heart disease. The target variable indicates whether an individual has been diagnosed with heart disease or not.

Column Descriptions:

Age: Age of the individual (years).
Gender: Gender of the individual (Male/Female).
Cholesterol: Cholesterol level in mg/dL.
Blood Pressure: Systolic blood pressure in mmHg.
Heart Rate: Heart rate in beats per minute.
Smoking: Smoking status (Never/Former/Current).
Alcohol Intake: Alcohol intake frequency (None/Moderate/Heavy).
Exercise Hours: Hours of exercise per week.
Family History: Family history of heart disease (Yes/No).
Diabetes: Diabetes status (Yes/No).
Obesity: Obesity status (Yes/No).
Stress Level: Stress level on a scale of 1 to 10.
Blood Sugar: Fasting blood sugar level in mg/dL.
Exercise Induced Angina: Presence of exercise-induced angina (Yes/No).
Chest Pain Type: Type of chest pain experienced (Typical Angina/Atypical Angina/Non-anginal Pain/Asymptomatic).
Heart Disease: Target variable indicating presence of heart disease (0: No, 1: Yes).

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