Regression and Hyperparameter Tuning for Invertebrate Dataset

This code performs regression analysis on the invertebrate dataset using linear regression and random forest regression models. It handles outliers, applies feature engineering techniques, and utilizes cross-validation and grid search for hyperparameter tuning. The code also makes predictions on an evaluation dataset and saves the results in a submission file.