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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
Last synced: about 1 month ago
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A light-weight Kaggle challenge to predict crabs' age
- Host: GitHub
- URL: https://github.com/kwokhing/regression-with-a-crab-age-dataset
- Owner: KwokHing
- Created: 2023-11-15T02:22:44.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-16T01:24:07.000Z (about 1 year ago)
- Last Synced: 2023-11-16T03:28:08.663Z (about 1 year ago)
- Topics: catboost, catboost-regressor, ensemble-machine-learning, kaggle, machie-learning, regression-models, xgboost-regression
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/competitions/playground-series-s3e16/overview
- Size: 750 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## 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.