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Classification Model to predict ten year CHD (heart disease)

License: Other

Jupyter Notebook 100.00%
logistic-regression heart-disease-analysis heart-disease-prediction classification-algorithm

framingham-heart-study's Introduction

Framingham Heart Study

This is a study on the dataset of Framingham Heart Patients. The model predicts whether the patients will have 10-year CHD or not depending on various parameters.

EDA (Exploratory Data Analysis) is done on the given dataset. The data is pre-processed, cleaned and then it is modelled on different classification models.

Dataset Source

The source of dataset is from kaggle : https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset

Project Requirements

To run the project (ipynb file):

  • You need a jupyter notebook
  • Modules Required :
    • numpy
    • seaborn
    • pandas
    • matplotlib
    • sklearn

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