GitHub / KwokHing / YandexCatBoost-Python-Demo
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KwokHing%2FYandexCatBoost-Python-Demo
PURL: pkg:github/KwokHing/YandexCatBoost-Python-Demo
Stars: 30
Forks: 16
Open issues: 0
License: unlicense
Language: Jupyter Notebook
Size: 743 KB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: over 1 year ago
Pushed at: over 5 years ago
Last synced at: 3 months ago
Topics: catboost, data-analysis, data-preprocessing, data-science, feature-selection, gradient-boosting, gradient-boosting-classifier, one-hot-encode, pandas, pearson-correlation, python, python27, seaborn, variance-analysis, visualization, yandex-catboost