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## Getting started |
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## Getting started |
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1. First, use the [data preprocessing notebook]() to prepare your data for the model. You should apply the code for different splits separately. |
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1. First, use the [data preprocessing notebook](data preprocessing.ipynb) to prepare your data for the model. You should apply the code for different splits separately. |
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2. Then, use the [train notebook]() to train your model and see the results. |
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2. Then, use the [train notebook](train.ipynb) to train your model and see the results. |