Getting started with logistic regression

This post provides a practical guide to implementing logistic regression for binary classification. It demonstrates data preprocessing steps including handling categorical variables and removing outliers. The core contribution is the step-by-step code for training a LogisticRegression model from scikit-learn, splitting data into training and testing sets, and evaluating the model using standard classification metrics like accuracy, precision, and recall, visualized with a confusion matrix.