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Heart-Disease-Analysis-using-Machine-Learning

Md. Rakibul Hasan
Civil Engineer
MS in Disaster Management (Contd.), University of Dhaka.

Objectives:

  • Load the dataset
  • Explain the features and target variable
  • Deal with the missing values
  • Perform One-hot Encoding
  • Split the dataset into 80% training and 20% for testing. Add random state and stratification
  • Perform the training with Decision Tree Classifier
  • Show a tree diagram of the Decision Tree
  • Show the Confusion Matrix, Classification report, and ROC-AUC

References:
Dataset Source: https://archive.ics.uci.edu/ml/datasets/heart+disease