Code for the Kaggle Ensembling Guide Article on MLWave
Role in this project:
Data Scientist Contributions:18 commits, 8 PRs, 1 push in 2 years 4 months
Contributions summary:Dat primarily contributed to the project by improving existing code and adding new functionality for ensemble methods. They focused on refactoring and standardizing the code style across multiple files related to ensemble techniques such as averaging, voting, and geometric mean calculations. Additionally, the user added a script to calculate correlations between prediction files, enhancing the project's analytical capabilities for model evaluation.
kagglepythonmachine-learningensembling
Contributions:19 commits, 5 pushes, 1 branch in 2 years 7 months