ababii/Pythia.jl
Machine learning time series regressions
This project helps quantitative analysts, economists, or data scientists working with time-series data to build predictive models. It takes in various time-series datasets and outputs regression models that can identify key patterns and make forecasts, particularly useful for understanding complex financial or economic trends. This is designed for practitioners who need to analyze and predict outcomes based on sequences of observations over time.
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Use this if you are a quantitative researcher or data scientist needing to perform advanced time-series regressions, especially with techniques like LASSO for feature selection, and you are working with mixed-frequency data.
Not ideal if you are looking for a general-purpose machine learning library that covers a wide array of model types beyond time-series regressions or if you prefer a different programming language than Julia.
Stars
14
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7
Language
Julia
License
MIT
Category
Last pushed
Jul 18, 2025
Commits (30d)
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