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@swcarpentry @LifeEGX


  1. A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

    Python 5.6k 992

  2. Repository of teaching materials, code, and data for my data analysis and machine learning projects.

    Jupyter Notebook 4.2k 1.5k

  3. A Python tool that automatically cleans data sets and readies them for analysis.

    Python 830 167

  4. PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

    Python 425 70

  5. A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

    Jupyter Notebook 177 45

  6. A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

    Python 187 29

746 contributions in 2017

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mon Wed Fri

Contribution activity

December 2017

Created an issue in dask/dask-ml that received 7 comments

How does dask-ml handle large datasets?

From the latest demos of dask-sklearn (and related projects) that I've seen, dask has primarily focused on parallelizing grid/random search and CV,…


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