Some of the key algorithms in Scikit-Learn that can be applied to email marketing include:
K-Means Clustering: Ideal for segmenting customers into distinct groups based on various features. Logistic Regression: Useful for predicting binary outcomes such as whether a customer will open an email or not. Decision Trees: Help in understanding the factors that influence customer behaviors and decisions. Random Forests: Enhance the accuracy of predictions by aggregating the results of multiple decision trees. Support Vector Machines (SVM): Effective for classification tasks, such as predicting customer churn.