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https://github.com/kwokhing/regression-with-a-crab-age-dataset

A light-weight Kaggle challenge to predict crabs' age
https://github.com/kwokhing/regression-with-a-crab-age-dataset

catboost catboost-regressor ensemble-machine-learning kaggle machie-learning regression-models xgboost-regression

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A light-weight Kaggle challenge to predict crabs' age

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## Regression with a Crab Age Dataset

This repo provides the submission entry for a [kaggle challenge](https://www.kaggle.com/competitions/playground-series-s3e16/overview) 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.

![jpg](img/Regression-Crab.png)

## Getting started
Open `DsCoP Kaggle - Ensemble.ipynb` on a jupyter notebook environment. Alternatively, you can view the codes in [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1ysnRxfzaTNO9yCkZL_pPqUbrkGelSYiw?usp=sharing). The notebook consists of further technical details.