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Topic: "time-series-cross-validation"

dream-faster/fold

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.

Language: Python - Size: 7 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 90 - Forks: 5

giocoal/restaurant-revenue-loss-COVID-retrospective-analysis

Time Series Analysis and Forecasting (using ARIMA, UCM and Random Forest models) of a restaurant's revenue during the first lockdown of the COVID-19 pandemic in Italy, to estimate the loss incurred.

Language: R - Size: 97.6 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 2

Backgammonian/Electricity-Day-Ahead-Price-Forecasts

Russian Day-Ahead Wholesale Electricity Market Price Forecasts

Language: Jupyter Notebook - Size: 111 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Praveen2812git/item_demand_forecasting

A machine learning model to predict the demand of the particular item for the next 3 months from the given date.

Language: Jupyter Notebook - Size: 796 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0