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  1. APMA-Seminar APMA-Seminar Public

    Empirical Analysis for APMA Seminar, Fall 2019. Contributors: Felipe Fritsch, Daniel Moreno, Thomas Chadrycki.

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    An Introduction to Statistical Learning with Applications in PYTHON

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    machine learning and deep learning tutorials, articles and other resources

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    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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  6. pmdarima pmdarima Public

    Forked from alkaline-ml/pmdarima

    A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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