Metadata-Version: 2.1
Name: PreProcessingNinja
Version: 0.0.1
Summary: A data preprocessing helper consists of your basic preprocessing needs
Home-page: https://github.com/Bijoy99roy/PreProcessingNinja
Author: Bijoy Kumar Roy
License: UNKNOWN
Description: 
        # PreProcessing Ninja
        
        A PreProcessing library for your basic PreProcessing needs
        
        [![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://www.python.org)
        
        [![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)  
        ## Features of the package
        
         - impute_missing_value: Helps to impute missing values
         - scale_data: Scales the data
         - encode_categorical_data: Helps in encoding categorical variables
         - remove_outliers: Helps in removing outliers
        ## Use
        ```cmd
        pip install PreProcessingNinja
        ```
        
        
          
        ## Example
        
        ```python
        from preprocessing_ninja import PreProcessingNinja
        ninja = PreProcessingNinja()
        
        #creating column dictionary
        d = {
            'column1':'mean',
            'column2':'mean',
            'column3':'most_frequent'
        }
        
        #calling method
        df = ninja.impute_missing_value(datafra,e, d)
        ```
        
          
        ## Note
        
        There might be bugs.
        
          
        ## Authors
        
        - [@BijoyKumarRoy](https://www.linkedin.com/in/bijoy-kumar-roy-4b0975189/)
        
          
Keywords: preprocessing,preprocessing ninja
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
