'Improve a Fixed Model the Data-Centric Way!' is a Kaggle competition where you have to alter the dataset 'Dissolved oxygen prediction in river water' to get the lowest RMSE score for a random forest model with an unknown test set. This repo shows the basic data-altering procedures that need to be done to optimize the machine learning model.
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