How to Implement Logistic Regression in Email Marketing?
Implementing logistic regression typically involves the following steps:
Collect and prepare the data: Gather relevant data points and preprocess them, handling missing values and normalizing variables if needed. Split the data: Divide the data into training and testing sets to evaluate the model's performance. Train the model: Use a logistic regression algorithm to train the model on the training set. Evaluate the model: Assess the modelâs accuracy, precision, recall, and other relevant metrics using the test set. Deploy the model: Use the trained model to predict the probability of email engagement for new recipients.