Getting started with logistic regression

In this Python-based machine learning tutorial, a binary classification algorithm is implemented using the logistic regression model. The Heart failure dataset from Kaggle is used to predict whether a patient has heart disease or not. Data preprocessing steps include handling anomalies and encoding categorical variables. The final model's performance is evaluated using metrics such as accuracy, precision, and recall.