Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

Table 1 Summary of key research studies on customer churn prediction: models used, findings, and gap identification. Full size table This research intends to fill the gaps in churn prediction to ...

This article explains how to programmatically encode categorical data for use with a machine learning (ML) prediction model such as a neural network classification or regression system. Suppose you ...