HeartAttackPrediction

Training repository within the "Machine learning for scientific data analysis" course

Data

I`m gonna use Heart Attack Analysis & Prediction Dataset.

Data description

• age - Age of the patient
• sex - Sex of the patient
• cp - Chest pain type
  • 0 = Typical Angina
  • 1 = Atypical Angina
  • 2 = Non-anginal Pain
  • 3 = Asymptomatic
• trtbps - Resting blood pressure (mm Hg)
• chol - Cholestoral fetched via BMI sensor (mg/dl)
• fbs - Fasting blood sugar (> 120 mg/dl)
  • 1 = True
  • 2 = False
• restecg - Resting electrocardiographic results
  • 0 = Normal
  • 1 = ST-T wave normality
  • 2 = Left ventricular hypertrophy
• thalachh - Maximum heart rate achieved
• oldpeak - Previous peak
• slp - Slope
• caa - Number of major vessels
• thall - Thalium Stress Test result (~0.3)
• exng - Exercise included angina
  • 1 = Yes
  • 0 = No
• output - Target variable

Main goal

Perform EDA and predict if a person is prone to a heart attack or not