zeynpaktasli/strokeprediciton

Stroke prediciton with EDA, data preprocessing, model building and sampling

Hello Data Science World 🎉 🎊

This is my first project so please give me your suggestions. This is very important for me to improve myself 😊

Stroke Prediction

Dataset

https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset

Context

According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths. This dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relavant information about the patient.

Attribute Information

• id: unique identifier
• gender: "Male", "Female" or "Other"
• age: age of the patient
• hypertension: 0 if the patient doesn't have hypertension, 1 if the patient has hypertension
• heart_disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease
• ever_married: "No" or "Yes"
• work_type: "children", "Govt_jov", "Never_worked", "Private" or "Self-employed"
• Residence_type: "Rural" or "Urban"
• avg_glucose_level: average glucose level in blood
• bmi: body mass index
• smoking_status: "formerly smoked", "never smoked", "smokes" or "Unknown"*
• stroke: 1 if the patient had a stroke or 0 if not

Note: "Unknown" in smoking_status means that the information is unavailable for this patient