A Time Series Analysis of the healthyverse R pacakges
Energy usage prediction with H2O AutoML
AI-powered logistics optimization model using LSTM forecasting, MILP, and vehicle routing to improve branch-level sales and stock harmony in retail supply chains.
End-to-end retail analytics and demand forecasting platform built with Python, Pandas, data quality checks, KPI analysis and forecasting pipelines.
Библиотека для прогнозирования отказов жестких дисков на основе данных https://www.backblaze.com/
This repository contains code files for time series forecasting models. Used programming language is python.
FORD is a black-box forecasting procedure based on CARD procedure developed by Doornik, Castle, Hendry. The program is coded in Stata.
For Forecast and Weather
Study and research on the hourly Time Series of electricity price from Italy.
Access and manage health and fitness data from various platforms with ts-health, a TypeScript library designed for seamless integration and app development.
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