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SteffenMoritz/README.md

Hi there, welcome to my GitHub Profile πŸ‘‹

  • πŸ”­ I’m currently working on Missing Value Treatment in Time Series
  • 🌱 I’m interested in machine learning, time series analysis, artificial intelligence, anomaly detection and data compression
  • πŸš€ Also visit my personal homepage for more info about me: www.data-science-decaf.com
  • πŸ“« How to reach me: Just write me a mail if you have questions or have suggestions for one of my projects.

Popular repositories Loading

  1. imputeTS imputeTS Public

    CRAN R Package: Time Series Missing Value Imputation

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    CRAN R Package: Ridge Regression with automatic selection of the penalty parameter

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  3. imputeR imputeR Public

    CRAN R package: Impute missing values based on automated variable selection

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  4. kssa kssa Public

    The Known Sub-Sequence Algorithm validates the results of imputation methods for missing data in time series, and finds a 'best method' for each specific time series.

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  5. Synthetic_Data_Challenge Synthetic_Data_Challenge Public

    UNECE HLG-MOS Synthetic Data Challenge (TEAM DESTATIS)

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  6. EventDetectR EventDetectR Public

    Forked from frehbach/EventDetectR

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