Customer Churn Prediction Model

This is a Machine Learning (ML) model that uses different algorithms to predict a customer's churn (yes/no). Below is a brief description of the dataset: Customers who left within the last month – the column is called Churn Services that each customer has signed up for – phone, multiple lines, internet, online security, online backup, device protection, tech support, and streaming TV and movies Customer account information – how long they’ve been a customer, contract, payment method, paperless billing, monthly charges, and total charges Demographic info about customers – gender, age range, and if they have partners and dependents The different algorithms used are LogisticRegressionCV, AdaBoostClassifier, RandomForestClassifier, and SupportVectorMachines. LogisticRegressionCV outperformed the other algorithms by achieving an accuracy of 82.044 %.