priyam-trivedi/automl

AutoML

Table of Content

• Demo
• Overview
• Installation
• Deployement on Heroku
• Directory Tree
• Bug / Feature Request
• Future scope of project

Demo

Link: https://automlnew.herokuapp.com/

Linkedin https://www.linkedin.com/feed/update/urn:li:activity:6925053436430274560/

Overview

This project is Automated machine learning,which is also referred to as automated ML or AutoML, is the process of automating the time-consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality.

Installation

The Code is written in Python 3.6.10. If you don't have Python installed you can find it here. 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 after cloning the repository:

pip install -r requirements.txt

Deployement on Heroku

Login or signup in order to create virtual app. You can either connect your github profile or download ctl to manually deploy this project.

Our next step would be to follow the instruction given on Heroku Documentation to deploy a web app.

Directory Tree

├── Procfile
├── README.md
├── new.py
├── requirements.txt
├── setup.sh

Technologies Used

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 by including your search query and the expected result