Metadata-Version: 2.1
Name: ARAMBHML
Version: 0.0.2
Summary: An Auto ML framework that solves Classification Tasks
Home-page: UNKNOWN
Author: Amartya Bhattacharya,Rupam Kumar Roy
License: UNKNOWN
Description: # Auto ML for Solving Classification Problems for Tabular Data
        
        [![forthebadge made-with-python](http://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/)   
        
        
        ## Functionality of the Auto ML Framework
        
        - Detects the type of problem from the given target feature
        - Does EDA on it's own
        - Finds out if there are null values present or not
        - If null values are present they are treated specifically with the class they are present in
        - Forms train-test split on it's own
        - Applies 6 ML models to show the use which model performs the best
        
        ## Usage
        
        - Make sure you have Python installed in your system.
        - Run Following command in the CMD.
         ```
          pip install ARAMBHML
          ```
        ## Example
        
         
        # test.py
        from ARAMBHML import get_model_info
        
        ## Make sure all the folders are there 
        dataframe_dir = 'path/of/dataframe_dir'
        Run get_model_info(dataframe dir)
        
        
        
        
        
        ## Screenshots
        <img src="![download (21)](https://user-images.githubusercontent.com/44440114/124238147-dfd59c00-db35-11eb-9bcf-83325e142489.png)">
        
        ## Note 
        - I have tried to implement all the functionality, it might have some bugs also. Ignore that or please try to solve that bug.
        
Keywords: auto ml python,classification problem,machine learning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
