Metadata-Version: 2.1
Name: ARAMBHML
Version: 0.0.5
Summary: An Auto ML framework that solves Classification Tasks
Home-page: UNKNOWN
Author: Amartya Bhattacharya,Rupam Kumar Roy
License: UNKNOWN
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
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Requires-Dist: sklearn-pandas
Requires-Dist: xgboost
Requires-Dist: plotly
Requires-Dist: plotly-express


# 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.


