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.
Обновлено 2024-10-29 17:51:56 +03:00
Samples, templates and setup guides in order to run demand forecasting in Azure Machine Learning Service and integrate with Dynamics 365 SCM
Обновлено 2024-09-26 16:34:31 +03:00
R-powered custom visual implementing the “Seasonal and Trend decomposition using Loess” algorithm, offering several types of plots. Time series decomposition is an essential analytics tool to understand the time series components and to improve forecasting.
Обновлено 2023-06-12 23:28:34 +03:00
An R-powered custom visual implementing Autoregressive Integrated Moving Average (ARIMA) modeling for the forecasting. Time series forecasting is the use of a model to predict future values based on previously observed values.
Обновлено 2023-06-12 21:29:06 +03:00
R-powered custom visual. Based on exponential smoothing time series forecasting
Обновлено 2023-06-02 23:39:02 +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.
Обновлено 2021-05-03 23:14:01 +03:00
Adjoint to Oil Tank Forecasting SHTG
Обновлено 2017-07-21 16:49:44 +03:00
Cortana Intelligence Solution for Shipping and Distribution Forecasting
Обновлено 2017-07-11 20:49:14 +03:00
The code to accompany “Time-series-forecasting-using-CNTK” tutorial on Cortana Intelligence Gallery .
Обновлено 2016-11-29 00:51:32 +03:00