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This Project is based upon a CHDs (Cardiovascular Heart Diseases) research dataset which has over 3000 records and 16 attributes. Since, the target variable belongs to Categorical attribute, We built classification models for the future predictions of CHDs in patients considering the features.

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cardiovascular-diseases classification data-science decision-trees k-nearest-neighbours logistic-regression machine-learning naive-bayes-classifier random-forest support-vector-machines

cardiovascular-risk-prediction's Introduction

  • 👋 Hi, I’m @parulsharma098
  • 👀 I’m Passionate about Music and Everything that grabs my interest.
  • 🌱 I’m currently learning DATA SCIENCE AND ANALYTICS.

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