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        "author": "Truoc Pham",
        "author_email": "truoc.phamkhac@asnet.com.vn",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
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        "description": "======================\nData Science Utilities\n======================\n\n\n.. image:: https://img.shields.io/pypi/v/data_science_utilities.svg\n        :target: https://pypi.python.org/pypi/data_science_utilities\n\n.. image:: https://img.shields.io/travis/truocphamkhac/data-science-utilities.svg\n        :target: https://travis-ci.org/truocphamkhac/data-science-utilities\n\n.. image:: https://readthedocs.org/projects/data-science-utilities/badge/?version=latest\n        :target: http://data-science-utilities-python.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n\n\nData Science utilities in python.\n\n\n* Free software: MIT license\n* Documentation: http://data-science-utilities-python.readthedocs.io.\n\n\nFeatures\n========\n\nMissing Data Statistic\n----------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    # make statistic\n    missing_data = data_science_utilities.missing_data_stats(df)\n\n    # display statistic\n    missing_data\n\n\nRead CSV files from path\n------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    train_path = '../data/raw/train.csv'\n    test_path = '../data/raw/test.csv'\n\n    X_train, X_test = data_science_utilities.read_csv_files(train_path, test_path)\n\n\nPlotting distribution normal\n----------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    data_science_utilities.plot_dist_norm(dist, 'distribution normal')\n\n\nPlotting correlation matrix\n---------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    data_science_utilities.plot_corelation_matrix(data)\n\n\nPlotting top attributes correlation matrix\n------------------------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    data_science_utilities.plot_top_corelation_matrix(data, target, k=10, cmap='YlGnBu')\n\n\nPlotting attributes by scatter chart\n------------------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    data_science_utilities.plot_scatter(data, column_name, target)\n\n\nPlotting attributes by box bar\n------------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    data_science_utilities.plot_box(data, column_name, target)\n\n\nPlotting category by box bar\n----------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    data_science_utilities.plot_category_columns(data, limit_bars=10)\n\n\nGenerate a simple plot of the test and traning learning curve\n-------------------------------------------------------------\n\n.. code:: python\n\n    from data_science_utilities import data_science_utilities\n\n    data_science_utilities.plot_learning_curve(estimator, title, X, y, ylim=None,\n                        cv=None, train_sizes=np.linspace(.1, 1.0, 5))\n\n\nCredits\n=======\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.2.4 (2018-05-21)\n------------------\n\n* Fixed render docs on README.\n\n\n0.2.3 (2018-05-21)\n------------------\n\n* Fixed render docs on https://pypi.org/.\n\n\n0.2.2 (2018-05-21)\n------------------\n\n* Fix render docs con't.\n\n\n0.2.1 (2018-05-21)\n------------------\n\n* Fix render docs.\n\n\n0.2.0 (2018-05-14)\n------------------\n\n* Adds utils about visualization.\n\n\n0.1.0 (2018-05-11)\n------------------\n\n* First release on PyPI.\n\n\n",
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