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@swcarpentry @LifeEGX


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

    Python 5.6k 988

  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 828 167

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

    Python 426 70

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

    Jupyter Notebook 175 45

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

    Python 186 29

553 contributions in 2015

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

Contribution activity

December 2015

Created a pull request in EpistasisLab/tpot that received 9 comments

First pass at pipeline export functionality

Per #5 This PR adds the export() function, which allows the user to specify an output file for the pipeline. Once export() is called (and a pipelin…

+238 −20 9 comments

Created an issue in EpistasisLab/tpot that received 25 comments

Convenience function: Detect if there are non-numerical features and encode them as numerical features

(As discussed in #60) Since many sklearn tools only work on numerical data, one limitation of TPOT is that it cannot work with non-numerical featur…


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