Spaces:
Sleeping
Sleeping
Update README.md
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README.md
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app_file: app.py
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pinned: false
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---
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# Customer Churn Predictor
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This web app predicts customer churn probability based on 26 features.
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- Built using Keras and Gradio
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- Trained on a binary classification problem
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- Uses a neural network with sigmoid output
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## Features Required
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1. Gender, SeniorCitizen, Partner, Dependents
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2. Tenure, PhoneService, MultipleLines, OnlineSecurity
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3. OnlineBackup, DeviceProtection, TechSupport
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4. StreamingTV, StreamingMovies, PaperlessBilling
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5. MonthlyCharges, TotalCharges
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6. Payment Methods (One-hot)
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7. Internet Service Types (One-hot)
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8. Contract Types (One-hot)
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Enter all 26 values to get a predicted churn probability.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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