Project 1

Predict Heart Disease using Machine Learning Models

• Import the necessary libraries
• Load the dataset
• Check for null values
• Perform correlation
• Perform five different machine learning models Logistic Regression, K-Nearest Neighbours Classifier, Support Vector Machine, Decision Tree Classifier, and Random Forest Classifier on the given dataset
  • import libraries
  • read the CSV file (heart.csv)
  • split the dataset into features and the target variable
  • preprocessing the data
  • split the data into train and test
  • Build the models
  • Evaluate the models
  • Print the accuracy score