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