The aim of this project is to analyse the customers behaviour by predicting which customers will churn the company.

The dataset contains the following attributes:

Inputs: customerID, gender, SeniorCitizen, Partner, Dependents, tenure, PhoneService, MultipleLines, InternetService, OnlineSecurity, OnlineBackup, DeviceProtection, TechSupport, StreamingTV, StreamingMovies, Contract, PaperlessBilling, PaymentMethod, MonthlyCharges, TotalCharges

Outputs:

• Churn(No: customers who stay, Yes: Customers who churn)

The following steps are followed for the data analysis and Prediction:

• Step 1: Import Libraries and datasets
• Step 2: EDA - Explore/Visualize Dataset
• Step 3: Prepare the data for training
• Step 4: Model Training
• Step 5: Model Testing
• Step 6: Model Accuracy