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Using-the-Streamlit-application-and-machine-learning-project-forecast-and-analyze-customer-Churn

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.gitattributes

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initial commit almost 2 years ago
Churn.jpeg

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NotChurn.png

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README.md

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initial commit almost 2 years ago
app.py

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bg.png

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cat_imputer.joblib
Detected Pickle imports (6)
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.core.multiarray._reconstruct",
- "sklearn.impute._base.SimpleImputer",
- "_codecs.encode",
- "numpy.ndarray"
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encoder.joblib
Detected Pickle imports (7)
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.core.multiarray._reconstruct",
- "_codecs.encode",
- "numpy.float64",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy.ndarray"
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1.68 kB
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lr_smote_model.joblib

2.26 kB
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numerical_imputer.joblib

1.07 kB
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requirements.txt

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scaler.joblib

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welcome.png

19.5 kB

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