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Analyzing heart attack with respect to given feature and building a predictive model for finding out if a person will suffer from a heart attack or not.

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BibhuPrasadPanda97/Heart-Attack-Analysis-Prediction

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Heart-Attack-Analysis-Prediction

About this dataset

  • Age: Age of the patient

  • Sex: Sex of the patient

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

  • ca: number of major vessels (0-3)

  • cp: Chest Pain type chest pain type

    1. Value 1: typical angina
    2. Value 2: atypical angina
    3. Value 3: non-anginal pain
    4. Value 4: asymptomatic
  • trtbps: resting blood pressure (in mm Hg)

  • chol: cholestoral in mg/dl fetched via BMI sensor

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

  • rest_ecg: resting electrocardiographic results

    1. Value 0: normal
    2. Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV)
    3. Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria
  • thalach: maximum heart rate achieved

  • target: 0= less chance of heart attack 1= more chance of heart attack

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Analyzing heart attack with respect to given feature and building a predictive model for finding out if a person will suffer from a heart attack or not.

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