Metadata-Version: 2.1
Name: ggwp
Version: 0.0.32
Summary: Prepare Fast, Analyze Faster
Home-page: https://github.com/datanooblol/ggwp
Author: Pathompol Nilchaikovit
Author-email: data.noob.lol@gmail.com
License: MIT
Description: # ggwp: Prepare Fast, Analyze Faster  
        [![PyPI Latest Release](https://img.shields.io/pypi/v/ggwp)](https://pypi.org/project/ggwp/) 
        [![Downloads](https://img.shields.io/pypi/dm/ggwp)](https://pypi.org/project/ggwp/)
        [![Repo Size](https://img.shields.io/github/repo-size/datanooblol/ggwp)](https://pypi.org/project/ggwp/)
        [![License](https://img.shields.io/pypi/l/ggwp)](https://pypi.org/project/ggwp/)
        [![Release Date](https://img.shields.io/github/release-date/datanooblol/ggwp)](https://pypi.org/project/ggwp/)
        
        ## What is ggwp?
        
        **ggwp** is a Python package for fast and easy data analytics.  
        It aims to make a data model that can be applied for some use cases  
        such as customer analytics. The data model created by ggwp is designed  
        directly from my personal experiences, which will be more and more data models  
        in the future. In addition, **ggwp** now has some new features for  
        logging, modeling and evaluating your models, which of these can speed up your workflow  
        FOR REAL!!
        
        ## Main Features  
        Here are current features available in **ggwp**  
        
        EzDataModel: check out -> [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1BcbHZjwNHsxtypOhu9KgddPOY28N5Xtt?usp=sharing)  
        -  DataModel: prepare your raw data for a general data model
        -  RFMT: create RFMT dataset
        -  Cohort: create Cohort dataset
        -  CustomerMovement: create Customer Movement dataset
        -  BasketEvolving: create Basket Evolving dataset  
        
        EzModeling: check out -> [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1uMNnpK-4x8wAq5pVsahWePnKzQNZdClK?usp=sharing)  
        -  Check: check your data quality and more
        -  Log: log your data, its status and your remark, so you know what you've done for each stage
        -  Evaluation: evaluate your model using traditional (R2, RMSE, F-1, ACC, ROC) and practical metrics (Cost&Benefit, Lift)
        -  BenchMark: benchmark your models' performances giving you some intuition  
        
        EzPipeline: check out -> [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1s4Rkpa53XxWn9GAfKFL9kot7Q44OMRum?usp=sharing)  
        
        -  GroupImputer: impute your value with multiple subsets (as you desire)
        -  ConvertVariables: convert all of your columns in one command  
        
        
        ## Where to get **ggwp**  
        The source code is currently hosted at GitHub:  
        https://github.com/datanooblol/ggwp  
        
        The latest version is available at  
        [Python Package Index (PyPI)](https://pypi.org/project/ggwp/)  
        
        ```sh  
        # pip  
        pip install ggwp  
        ```  
        
        ## Dependencies  
        
        -  numpy  
        -  pandas  
        -  sklearn
        -  xgboost
        
        ## Disclaimer  
        **ggwp** is now in devoping phase. Hence, if you experience any inconveniences, please be patient...
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
