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Bike Share Usage Prediction - Data Every Day #230

Hi guys, welcome back to Data Every Day!
On today's episode, we are looking at a dataset of data from a bike share in London and trying to predict how many bikes will be used in a given hour. We will be using XGBoost to make our predictions.

Here is a link to the Kaggle dataset:
https://www.kaggle.com/hmavrodiev/london-bike-sharing-dataset

And here is a link to my notebook from the video:
https://www.kaggle.com/gcdatkin/bike-share-usage-prediction

Thanks so much for watching! If you enjoyed today's episode, be sure to subscribe and hit the bell for more content!

See you all tomorrow! :)

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Patreon: https://www.patreon.com/gcdatkin
LinkedIn: https://www.linkedin.com/in/gcdatkin
Twitter: https://twitter.com/gcdatkin

Видео Bike Share Usage Prediction - Data Every Day #230 канала Gabriel Atkin
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Информация о видео
29 марта 2021 г. 2:40:35
00:20:04
Gabriel Atkin
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