Metadata-Version: 2.1
Name: mern
Version: 0.4
Summary: data pre-processing library
Home-page: https://github.com/bluenet-analytica/mern
Author: mrxxx04
Author-email: rizkimaulana348@gmail.com
License: MIT
Download-URL: https://github.com/bluenet-analytica/mern/archive/v.0.1.zip
Description: # mern
        
        mern is python library to help us process our dataset, it can process numeric and text data
        
        ### Installation
        
        ```bash
        pip3 install mern
        ```
        
        or
        
        ```bash
        git clone https://github.com/bluenet-analytica/mern.git && cd mern && pip3 install -r requirements.txt
        ```
        
        ### 1. Remove outlier in numerical data
        
        There are 2 ways to remove data on numerical data type
        
        1. Z Score
        2. Inter Quartile Score Range (IQR Score)
        
        ```python
        from mern import NumericOutlier
        
        obj = NumericOutlier()
        x = [11,31,21,19,8,54,35,26,23,13,29,17]
        
        # using Z Score
        print(obj.find(x, "zscore"))
        
        # using Inter Quartile Range Score
        print(obj.find(x, "iqr"))
        ```
        
        ### 2. Remove outlier in text data
        
        ```python
        from mern import TextOutlier
        
        obj = TextOutlier()
        text = "abcd!G#45!"
        
        # remove punctuation ex : !@#$%
        no_punctuation = obj.remove_punctuation([text])
        print(no_punctuation)
        
        # remove stop words ex : this, the, a, etc
        # tweets by @SomeGuyAbides
        
        tweets = "Is a burning compressed liquid hydrogen as rocket fuel feasible for a propellant? Could this process be deleveloped through electrolysis of water? "
        
        no_sw = obj.remove_stopwords([tweets], lang="english")
        
        ```
        
        That's it.
        
Keywords: machine-learning,surpervied-learning,artificial-intelegence
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
