Time series modeling using ARIMA and XGBoost. Intro to free time series modeling resources

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • jidt

    JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

  • IDK why this got downvoted, it's good to know there's a non-linear alternative to ARIMA. Here's J Lizier's implementation; it's in Java, but apparently usable in Python via Jpype.

  • ennemi

    Easy Nearest Neighbor Estimation of Mutual Information

  • For (what I understand to as) a mutual information analogue of correlation coefficients, there's a native Python implementation, ennemi.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • mlforecast

    Scalable machine 🤖 learning for time series forecasting.

  • In Python you can use the https://nixtla.github.io/mlforecast library for example, it makes the feature engineering, evaluation and cross validation trivial.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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