This repo provides the submission entry for a kaggle challenge to create a regression model to predict a crab's age.
Boosting regressor models like XGBoost, Catboost and LGBM performs well on this dataset. The finally deployed model is a voting-ensemble made up of XGBoost and Catboost.
Open DsCoP Kaggle - Ensemble.ipynb
on a jupyter notebook environment. Alternatively, you can view the codes in . The notebook consists of further technical details.