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 2024-09-07 02:24:59 +03:00
language-extensions-sqlserver
Обновлено 2024-09-04 20:52:53 +03:00
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
machine-learning
python
data-science
ml
scikit-learn
r
machine-learning-algorithms
machinelearning
education
scikit-learn-python
machinelearning-python
Обновлено 2024-08-31 08:16:34 +03:00
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
microsoft
machine-learning
deep-learning
data-science
r
finance
time-series
forecasting
business
finnts
r-package
rstats
Обновлено 2024-08-05 18:19:32 +03:00
R package for analyzing and visualizing data from Microsoft Workplace Analytics
Обновлено 2024-07-26 19:03:52 +03:00
Utility functions for easier usage of SQL Server Machine Learning Services
Обновлено 2024-07-12 23:52:03 +03:00
R SDK for interacting with Microsoft 365 APIs
r
azure-sdk-r
microsoft-graph-api
office-365
onedrive
microsoft-365
onedrive-for-business
sharepoint-online
Обновлено 2024-02-23 16:58:15 +03:00
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
Обновлено 2024-02-08 18:29:01 +03:00
R interface to Azure Data Explorer, aka Kusto
Обновлено 2023-10-13 17:29:01 +03:00
R package for interacting with Azure Resource Manager
Обновлено 2023-09-20 02:59:06 +03:00
R interface to Microsoft Graph REST API
Обновлено 2023-09-06 10:23:39 +03:00
Loan ChargeOff Risk Solution Template with Microsoft ML Server
Обновлено 2023-06-12 23:02:02 +03:00
Time Series Forecasting Best Practices & Examples
machine-learning
python
deep-learning
artificial-intelligence
r
best-practices
jupyter-notebook
automl
lightgbm
hyperparameter-tuning
model-deployment
prophet
retail
tidyverse
time-series
azure-ml
demand-forecasting
dilated-cnn
forecasting
Обновлено 2023-05-01 00:54:37 +03:00
R package for working with containers in Azure: ACI, ACR, AKS
kubernetes
r
containers
azure-container-registry
azure-kubernetes-service
azure-sdk-r
azure-container-instances
Обновлено 2023-03-28 19:44:41 +03:00
R interface to Azure Key Vault
Обновлено 2023-03-28 19:44:40 +03:00
R interface to VM instance metadata
Обновлено 2023-03-28 19:44:30 +03:00
R package for managing virtual machines in Azure
Обновлено 2023-01-30 08:49:07 +03:00
R interface to Azure storage accounts
Обновлено 2022-10-29 07:28:38 +03:00
R package for OAuth 2.0 authentication with Azure Active Directory
Обновлено 2022-10-11 18:04:55 +03:00
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
azure
python
machine-learning
deep-learning
data-science
r
ai
ml
big-data
sqlserver
data-analysis
dsvm
Обновлено 2022-09-18 21:35:33 +03:00
Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains
Обновлено 2022-08-31 18:22:03 +03:00
Family of packages for interacting with Azure from R
Обновлено 2022-07-29 18:40:03 +03:00
R Tools for Visual Studio.
Обновлено 2021-05-12 12:47:49 +03:00
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
azure
data
r
visualization
workshop-materials
anomaly-detection
azure-databricks
databricks-notebooks
timeseries-forecasting
time-series-analysis
sparksql
311-data
aiforsocialgood
anomalydiscovery
datascience-machinelearning
eda
geospatial
leaflet
opendata
sparkr
Обновлено 2021-05-03 23:14:01 +03:00
R interface to CosmosDB and table storage
Обновлено 2021-01-19 00:23:34 +03:00
R package for interfacing with Azure table storage
Обновлено 2021-01-12 22:37:19 +03:00
R interface to Azure queue storage
Обновлено 2021-01-12 22:36:42 +03:00
R interface to the Computer Vision API
Обновлено 2021-01-12 22:34:52 +03:00
R interface to Azure Cognitive Services REST API
Обновлено 2021-01-12 22:33:13 +03:00