A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
machine-learning
microsoft
python
distributed
data-mining
decision-trees
gbdt
gbm
gbrt
gradient-boosting
kaggle
lightgbm
parallel
r
Обновлено 2024-10-17 15:07:42 +03:00
This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
azure
azure-functions
data-science
decision-trees
feature-engineering
customer-enrichment
data-virtualization
datawarehouse
multi-class-classification
Обновлено 2018-08-10 20:22:24 +03:00