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Check out H2O AutoML:




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Hi there 👋

I am the Chief Machine Learning Scientist at, the company that produces the open source, distributed machine learning platform, H2O. At, I lead the development of the H2O AutoML algorithm. I am also the founder of WiMLDS and co-founder of R-Ladies Global.

My open source software contributions 📦

Author or co-author:

  • H2O: Scalable Machine Learning & AutoML Platform
  • h2o4gpu: R interface for H2O4GPU, machine learning on GPUs
  • rsparkling: R interface for H2O Sparkling Water, maching learning on Spark
  • OpenML AutoML Benchmark: Benchmarking Framework for AutoML tools
  • cvAUC: Computationally efficient confidence intervals for CV AUC estimates in R
  • subsemble: R package for ensemble learning on subsets of data
  • SuperLearner: R package for Super Learning (Stacked Ensembles)
  • meetupr: R interface to the API
  • rHeathDataGov: R interface to the Data API


  1. H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

    Jupyter Notebook 5.6k 1.9k

  2. useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive

    Jupyter Notebook 393 209

  3. A curated list of research, applications and projects built using the H2O Machine Learning platform

    310 74

  4. H2O Machine Learning Tutorial for the 2019 LatinR Conference

    HTML 17 19

  5. cvAUC Public

    Computationally efficient confidence intervals for cross-validated AUC estimates in R

    R 21 10

  6. OpenML AutoML Benchmarking Framework

    Python 243 80

301 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mon Wed Fri
Activity overview
Contributed to h2oai/h2o-3, h2oai/wave-amlb, h2oai/awesome-h2o and 5 other repositories

Contribution activity

October 2021

Created 1 commit in 1 repository
1 contribution in private repositories Oct 1

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