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https://github.com/mystery2828/playwithml

A project where we can try to experiment with our dataset and try it on different models. This is not exactly an AutoML. This is just for fun.
https://github.com/mystery2828/playwithml

automl heroku machine-learning machine-learning-algorithms pandas python3 sklearn streamlit

Last synced: about 1 month ago
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A project where we can try to experiment with our dataset and try it on different models. This is not exactly an AutoML. This is just for fun.

Host: GitHub
URL: https://github.com/mystery2828/playwithml
Owner: mystery2828
License: apache-2.0
Created: 2020-06-12T04:22:09.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2023-05-01T21:24:08.000Z (over 1 year ago)
Last Synced: 2024-09-28T13:23:11.305Z (about 2 months ago)
Topics: automl, heroku, machine-learning, machine-learning-algorithms, pandas, python3, sklearn, streamlit
Language: Python
Homepage: https://github.com/mystery2828/playwithML
Size: 3.67 MB
Stars: 9
Watchers: 3
Forks: 7
Open Issues: 5
Metadata Files:
- Readme: readme.md
- License: LICENSE

Awesome Lists containing this project

README

        # PLAY WITH ML (An Intuitive way of implementing ML models).

## Index

  * [Demo](#demo)

  * [Overview](#overview)

  * [Installation](#installation)

  * [Directory Tree](#directory-tree)

  * [Usage](#usage)

  * [Deployement on Heroku](#deployement-on-heroku)

  * [Bug / Feature Request](#bug--feature-request)

  * [Technologies Used](#technologies-used)

  * [Team](#team)

  * [License](#license)

## Demo

Link: [http://playwithml.herokuapp.com/](http://playwithml.herokuapp.com/)

[![](https://imgur.com/gec0n1K.png)](http://playwithml.herokuapp.com/)

## Overview

* This is a intuitive way of implementing Machine Learning models without writing even a single line of code.

* This is a supervised Machine Learning based Project in which you can Upload a Dataset of your choice,

* View the Charts and Bar graphs related to the Dataset,

* Select the type of model (Classification or Regression),

* Select which model to train on,

* Click on the TRAIN button,

* Finally get the Scores, Code and Report for your Model :)

## Installation

The Code is written in Python 3.7. If you don't have Python installed you can find

it [here](https://www.python.org/downloads/).

If you are using a lower version of Python you can upgrade using the pip package,

ensuring you have the latest version of pip. 

To install the required packages and libraries, run this command in the project 

directory:

```bash

git clone https://github.com/mystery2828/playwithML.git

pip install -r requirements.txt

```

## Directory Tree

```

│   app.py

│   classification.py

│   LICENSE

│   Procfile

│   readme.txt

│   regressor.py

│   requirements.txt

│   setup.sh

│

├───datasets

│       abalone.csv

│       Admission_Predict.csv

│       ionosphere.csv

│       iris.csv

│       Placement_Data_Full_Class.csv

│       pulse.xlsx

│       sonar.csv

│       winequality.csv

```

## Usage

```bash

streamlit run app.py

```

[![](https://imgur.com/MtvTsL1.png)](http://playwithml.herokuapp.com/)

[![](https://imgur.com/x3ct0ou.png)](http://playwithml.herokuapp.com/)

[![](https://imgur.com/LkxcPJK.png)](http://playwithml.herokuapp.com/)

[![](https://imgur.com/CiVrqNu.png)](http://playwithml.herokuapp.com/)

[![](https://imgur.com/gzFq0GJ.png)](http://playwithml.herokuapp.com/)

[![](https://imgur.com/CiVrqNu.png)](http://playwithml.herokuapp.com/)

## Deployement on Heroku

```bash

git init

git add .

git commit -m "< commit message >"

git push

git push heroku master

```

## Bug / Feature Request

If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an issue [here](https://github.com/mystery2828/playwithml/issues/new) by including your search query and the expected result.

## Technologies Used

![](https://forthebadge.com/images/badges/made-with-python.svg)

[](https://scikit-learn.org/stable/) 

[](https://www.streamlit.io/) 

[](https://pandas.pydata.org/)

[](https://www.heroku.com/)

## Team

[![Akash C](https://avatars1.githubusercontent.com/u/40836377?s=144&u=884f530d1deeb1897ccb6f83cea9e84cc3de4b28&v=4)](https://www.linkedin.com/in/akash-c-3a0468148/) |

-|

[Akash C](https://www.linkedin.com/in/akash-c-3a0468148/) |

[![Ashwin Sharma](https://avatars0.githubusercontent.com/u/51113630?s=144&u=a16f967611c067eb66f36bc1c070fe8fbe1d5341&v=4&s=144)](https://www.linkedin.com/in/ashwinsharmap/) |

-|

[Ashwin Sharma](https://www.linkedin.com/in/ashwinsharmap/)

## License

[![Apache license](https://img.shields.io/badge/license-apache-blue?style=for-the-badge&logo=appveyor)](http://www.apache.org/licenses/LICENSE-2.0e)

Copyright 2020 Akash C

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.