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GitHub / nicovandenhooff / wids-datathon-2022
This repository contains solution for the 2022 Women in Data Science Kaggle competition that I participated in, which obtained a top 10% leaderboard standing.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nicovandenhooff%2Fwids-datathon-2022
Stars: 0
Forks: 1
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 1.01 MB
Dependencies:
12
Created: over 2 years ago
Updated: about 2 years ago
Last pushed: about 2 years ago
Last synced: 4 months ago
Commit Stats
Commits: 31
Authors: 2
Mean commits per author: 15.5
Development Distribution Score: 0.355
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/nicovandenhooff/wids-datathon-2022
Topics: catboost, data-visualization, datascience, energy-consumption, ensemble-learning, exploratory-data-analysis, kaggle, lightgbm, machine-learning, scikit-learn, women-in-data-science, xgboost