predict whether the customer continues with the bank or closes it. You are provided with below two datasets attached here (please do not use datasets directly from Kaggle link shared above).
You are expected to follow the below steps:
1. Handle missing values in the datasets
2. Divide the “BankChurnDataset” into the training and testing dataset. Train the model and Comment on the Model Accuracy, specificity, and sensitivity of the dataset.
3. Use the model to predict whether a particular customer would churn or not using the “NewCustomerDataset”.
The post “BankChurnDataset” into the training and testing dataset. first appeared on COMPLIANT PAPERS.
