Subseasonal forecasting models
Обновлено 2024-11-07 02:35:52 +03:00
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
machine-learning
deep-learning
data-science
python
automated-machine-learning
natural-language-processing
hyperparameter-optimization
automl
jupyter-notebook
timeseries-forecasting
tuning
classification
finetuning
hyperparam
natural-language-generation
random-forest
regression
scikit-learn
tabular-data
Обновлено 2024-11-01 05:08:45 +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 2024-10-29 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
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
Обновлено 2023-07-07 01:23:08 +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
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
Repo to showcase solution examples and learning content curated by the advanced analytics experts within Microsoft Finance
Обновлено 2022-09-02 22:38:04 +03:00
Forecasting models, development, evaluation, and validation
Обновлено 2022-01-11 21:12:40 +03:00
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
Обновлено 2022-01-06 09:18:00 +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
A tutorial demonstrating how to implement deep learning models for time series forecasting
Обновлено 2020-11-13 21:01:26 +03:00
For (Potential) Use in Forecasting FxA SMS Spend
Обновлено 2018-10-15 11:40:05 +03:00
This repo contains all the materials and instructions for putting together a Oil & Gas Tank Level Forecasting solution for oil and gas companies using the Cortana Intelligence Suite.
Обновлено 2018-10-01 15:09:55 +03:00
Energy industry solutions using the Cortana Intelligence Suite with end-to-end walkthrough.
Обновлено 2018-09-27 19:48:49 +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
Cortana Intelligence solution Oil and Gas Tank Level Forecasting
Обновлено 2017-02-04 05:26:40 +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