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 2024-11-17 23:49:19 +03:00
R powered custom visual based on rpart package
Обновлено 2024-04-16 11:25:49 +03:00
A Generic Low-Code Framework Built on a Config-Driven Tree Walker
csharp
microsoft
roslyn
ui
async
config
low-code
netstandard20
persisted-state
stateful
tree-visualization
treewalker
workflow-engine
workflow-framework
config-driven
decision-tree
dynamic
forge
generic
Обновлено 2024-01-10 03:38:06 +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