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[R] 🔎 How I found external data for #1 Private LiderBoard solution on Kaggle
June 22, 2022, 2:43 p.m. | /u/data_scientist_uz
Machine Learning www.reddit.com
**Competition**: [TPS January 2022](https://www.kaggle.com/competitions/tabular-playground-series-jan-2022), SMAPE as a target metric
**Special thanks**: [@ambrosm](https://www.kaggle.com/ambrosm) for the 1st place [notebook](https://www.kaggle.com/code/ambrosm/tpsjan22-10-advanced-linear-model-with-cci/notebook) and great disscussion on external data [here](https://www.kaggle.com/competitions/tabular-playground-series-jan-2022/discussion/302694)
📚 In this notebook we'll use:
* [Upgini](https://github.com/upgini/upgini#readme) \- Low-code Feature search and enrichment library for supervised machine learning applications.
📷
**Baseline model** in this notebook is based on u/ambrosm notebook (first place) with some minor changes:
* Feature engineering part was slightly changed, so we can prepare main features and external features separately; …
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