This research examines the factors affecting customer churn in the telecom industry. In this regard, we use data mining classification methods, such as neural network, K-nearest neighbor, support vec
# Telco Churn 7k A 7,043-row customer-retention dataset drawn from a U.S. telecom provider. Each record profiles one account with 21 concise attributes and a **Churn** flag (*Yes* / *No*) indicating
Nowadays, the high cost of customer acquisition makes telecom operators encounter the “ceiling”, and even fall into the dilemma of customer acquisition. As market saturation increases, telecom operato