Wild Blueberry Yield Prediction (Hyperparameter Optimization) - Data Every Day

Опубликовано: 18 Февраль 2026
на канале: Gabriel Atkin

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Hi guys, welcome back to Data Every Day!
On today's episode, we are looking at a dataset of wild blueberries and trying to predict the yield for a given record. We will be using a random forest regression model to make our predictions and grid search to optimize its hyperparameters.

Here is a link to the Kaggle dataset:
https://www.kaggle.com/saurabhshahane...

And here is a link to my notebook from the video:
https://www.kaggle.com/gcdatkin/blueb...

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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