This is an example of dormant customer detection. At first, we generate dataset with various features (generate_dataset.ipynb). Then we fit LightGBM model on 80% this data, and use remaining 20% for evaluation (train_model.ipynb).
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Example of dormant customer detection
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atamazian/dormant_customer
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