Kaggle Kernels
==============

* `Tabular Playground Series April 2021 competition solution <https://www.kaggle.com/alexryzhkov/n3-tps-april-21-lightautoml-starter>`_
* `Titanic competition solution (80% accuracy) <https://www.kaggle.com/alexryzhkov/lightautoml-titanic-love>`_
* `Titanic **12-code-lines** competition solution (78% accuracy) <https://www.kaggle.com/alexryzhkov/lightautoml-extreme-short-titanic-solution>`_
* `House prices competition solution <https://www.kaggle.com/alexryzhkov/lightautoml-houseprices-love>`_
* `Natural Language Processing with Disaster Tweets solution <https://www.kaggle.com/alexryzhkov/lightautoml-starter-nlp>`_
* `Tabular Playground Series March 2021 competition solution <https://www.kaggle.com/alexryzhkov/lightautoml-starter-for-tabulardatamarch>`_
* `Tabular Playground Series February 2021 competition solution <https://www.kaggle.com/alexryzhkov/lightautoml-tabulardata-love>`_
* `Interpretable WhiteBox solution <https://www.kaggle.com/simakov/lama-whitebox-preset-example>`_
* `Custom ML pipeline elements inside existing ones <https://www.kaggle.com/simakov/lama-custom-automl-pipeline-example>`_
* `Tabular Playground Series November 2022 competition solution with Neural Networks <https://www.kaggle.com/code/mikhailkuz/lightautoml-nn-happiness>`_