This repository contains exploratory data analysis and logistic regression of the heart diseases dataset from kaggle.

This repository contains the code, the dataset and the final report

Aim of the project: To perform exploratory data anlysis and create a model which tries to predict if a patient has heart disease or not based on the features.

Dataset description:

age - age in years

sex - (1 = male; 0 = female)

cp - chest pain type

trestbps - resting blood pressure (in mm Hg on admission to the hospital)

chol - serum cholestoral in mg/dl

fbs - (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)

restecg - resting electrocardiographic results

thalach - maximum heart rate achieved

exang - exercise induced angina (1 = yes; 0 = no)

oldpeak - ST depression induced by exercise relative to rest

slope - the slope of the peak exercise ST segment

ca - number of major vessels (0-3) colored by flourosopy

thal - 3 = normal; 6 = fixed defect; 7 = reversable defect

target - have disease or not (1=yes, 0=no)