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        "description": "# Sci-Cheat\nBasic analytics for working with a new dataset\n\n## Notes\n* See examples folder for demo of functionality\n* Very much a work in progress!\n* Works best in a Jupyter Notebook environment\n## Installation\n```\ngit clone https://github.com/andrewjkuo/scicheat.git\npython setup.py install\n```\n## Usage\n* Import the PrimaryAnalysis class\n* Load in a pandas dataframe and specify the target variable\n* You can run specific methods or just use run_all()\n```\nfrom scicheat.dataloader import PrimaryAnalysis\n\npa = PrimaryAnalysis(df=df, target='y_col')\npa.run_all()\n```\n## To Do\n* Error handling\n* Deal with NAs intelligently\n* Deal with dates intelligently\n* Data normalisation\n* Optionally limit rows for speed\n* Hyperparameter tuning\n* Unsupervised analysis\n\n\n",
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