In this assignment students need to predict `y=activity` of radon, a radioactive gas given other attributes about the location, time, etc. of the source.

Description from [TensorFlow datasets](https://www.tensorflow.org/datasets/catalog/radon): *Radon is a radioactive gas that enters homes through contact points with the ground. It is a carcinogen that is the primary cause of lung cancer in non-smokers. Radon levels vary greatly from household to household. This dataset contains measured radon levels in U.S homes by county and state. The 'activity' label is the measured radon concentration in pCi/L. Important predictors are 'floor' (the floor of the house in which the measurement was taken), 'county' (the U.S. county in which the house is located), and 'Uppm' (a measurement of uranium level of the soil by county).*

See competition rules tab for more guidance.

## Acknowledgements
1. We thank [Andrew Gelman](http://www.stat.columbia.edu/~gelman/) and [Google TensorFlow](https://www.tensorflow.org/datasets/catalog/radon) for the Radon dataset
    1. The dataset has been augmented for this competition
1. The image is from [US EPA, Wikimedia Commons](https://commons.wikimedia.org/wiki/File:US_homes_over_recommended_radon_levels.gif)
1. **Competition Authors**. [ML Teaching Team](https://www.hse.ru/edu/courses/?filial=22723&lecturer=409923484&year=2021): [Oleg Melnikov](https://www.linkedin.com/in/olegmelnikov/), [Alexey Boldyrev](https://www.hse.ru/org/persons/223985242), [Vladimir Kirillin](https://www.hse.ru/org/persons/499313273), [Sergey Chervontsev](https://www.hse.ru/org/persons/305134539), Margarita Lazareva, Tatyana Yazykova, Mike Ovyan, Lika Lomidze, Vladimir Novikov, Valeriya Rogovchenko