Wild Blueberry Yield Prediction (Hyperparameter Optimization) - Data Every Day #237

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/wild-blueberry-yield-prediction And here is a link to my notebook from the video: https://www.kaggle.com/gcdatkin/blueberry-yield-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! :) ---------- Patreon: https://www.patreon.com/gcdatkin LinkedIn: https://www.linkedin.com/in/gcdatkin Twitter: https://twitter.com/gcdatkin