A multiverse of Prophet models for timeseries
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Updated
Mar 27, 2026 - Python
A multiverse of Prophet models for timeseries
We forecast demand of products for hierarchical time series data.
Implementing 17 Machine Learning Models in a Hierarchical Data Architecture and Evaluating Their Performance
🦀 Hierarchical time series in Rust.
Build a Hierarchical Time-Series to improve demand prediction of same-category drugs
A comprehensive R project exploring time series analysis and forecasting techniques, including decomposition, exponential smoothing, ARIMA, dynamic regression, and hierarchical/grouped time series modeling, with clear visualizations and real-world datasets.
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