All work

Machine Learning / Binary classification

Customer Churn Prediction

A binary-classification application that predicts customer churn from customer, service, contract, and billing features.

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • Streamlit
  • Pickle
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Approach

The project trains a classification model on the Telco Customer Churn dataset, serializes the model, and exposes real-time predictions through Streamlit.

Architecture

01Customer, service, contract, and billing inputs
02Classification model
03Serialized model
04Streamlit real-time prediction

Capabilities

  • Binary classification
  • Telco Customer Churn dataset
  • Customer / service / contract / billing features
  • Model serialization
  • Streamlit real-time prediction