Open Source Projects

  • Kalman Filter: a simple implementation of Kalman Filter in Python
  • EMELY: a collection of maximum likelihood estimators for the fitted distribution parameters given a set of observations. Implementation in Spark - Scala
  • D-SHIFT: a collection of methods for measuring how two empirical distributions differ. Implementation in Spark - Scala
  • WOE & IV: the implementation of Weight of Evidence (WOE) encoding and Information Value (IV). Implementation in PySpark
  • DRE with PC: a python package used for distribution density ratio estimation using probabilistic classification. Implementation in PySpark & H2O

Technical Articles

More than 140 articles on Machine Learning, Statistics, Maths & Big Data Engineering.

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Non-technical Articles

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