{ "info": { "author": "Sagar Paudel", "author_email": "sagar.paudel18@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# Data Science Tools (pychamp)\n\n`pychamp` is a data science tool intended to ease data science practices.\n\n

Modules

\n\n- configparser : It can be used for parsing configuration file format `json` and `ini`.\n- connection : It can be used for creating `connection URL`, `connection engine` and for `executing` any type of sql `queries`.\n- features_selection : It can be used for selecting features using `Backward Elimination`, `VIF` and `Features Importance`.\n- sampling : It can be used for different types of sampling operations such as `SMOTE`, `SMOTENC` and `ADASYN` for both categorical and numerical features.\n- stats : It can be used for `Confidence and Prediction Interval`, `IQR outlier removal` and `Summary Statistics`.\n- viz : It can be used for visualization.\n- net : It can be used for sending mail currently.\n- model : Different types of regression, classification and clustering models can be used.\n- eda : It handles data types and missing values.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/paudelsagar/pychamp", "keywords": "data science tools", "license": "", "maintainer": "", "maintainer_email": "", "name": "pychamp", "package_url": "https://pypi.org/project/pychamp/", "platform": "", "project_url": "https://pypi.org/project/pychamp/", "project_urls": { "Homepage": "https://github.com/paudelsagar/pychamp" }, "release_url": "https://pypi.org/project/pychamp/1.1.0.dev4/", "requires_dist": [ "wordcloud", "seaborn", "SQLAlchemy", "statsmodels", "graphviz", "numpy", "scipy", "pandas", "imbalanced-learn", "matplotlib", "pydotplus", "ipython", "imblearn", "scikit-learn" ], "requires_python": ">=3.6.7", "summary": "Data Science Tools", "version": "1.1.0.dev4" }, "last_serial": 5812929, "releases": { "1.1.0.dev4": [ { "comment_text": "", "digests": { "md5": "fbf8a0c9dfecc8911b0f2d4229387218", "sha256": "a8589180f9bdbe7e64c54af7d2326c17a96f32cdba9e63ef8982f958865aec3d" }, "downloads": -1, "filename": "pychamp-1.1.0.dev4-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "fbf8a0c9dfecc8911b0f2d4229387218", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": ">=3.6.7", "size": 20308, "upload_time": "2019-09-11T05:39:06", "url": "https://files.pythonhosted.org/packages/f3/a2/c1f486f6b6d3ffc4df1ac78c2247a7b28d769107e1ed2f17683d2435507d/pychamp-1.1.0.dev4-py2.py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "fbf8a0c9dfecc8911b0f2d4229387218", "sha256": "a8589180f9bdbe7e64c54af7d2326c17a96f32cdba9e63ef8982f958865aec3d" }, "downloads": -1, "filename": "pychamp-1.1.0.dev4-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "fbf8a0c9dfecc8911b0f2d4229387218", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": ">=3.6.7", "size": 20308, "upload_time": "2019-09-11T05:39:06", "url": "https://files.pythonhosted.org/packages/f3/a2/c1f486f6b6d3ffc4df1ac78c2247a7b28d769107e1ed2f17683d2435507d/pychamp-1.1.0.dev4-py2.py3-none-any.whl" } ] }