Yaharth
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Heart Disease Prediction System
  • Developed a predictive model for heart disease using various algorithms including GaussianNB, RandomForestClassifier, LinearDiscriminantAnalysis, and LogisticRegression.
  • Employed libraries such as pandas, numpy, and scikit-learn (sklearn) to implement and optimize the prediction system.
  • Divided the dataset into 80% training data and 20% testing data for model evaluation. Attained an impressive accuracy rate of 96.69% with the heart disease prediction system.