AIR_QUALITY_INDEX_PREDICITON

The project is about creating a model which predicts the flight fare price based on factors like distance, number of stops, total hours of flight as well as the type of seat

Here are the screenshots of working example on an AWS Linux Instance.

Table of contents

• Usage
• Installation
• Recommended configurations
• Custom configurations
• Updating
• Uninstallation
• Contributing
• Future Scope

Usage

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Man pages have been added. Checkout man colorls.

Installation

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1. Install git (preferably, version >= 2.0) and python (preferably, version >=3.6) (windows) For Linux :

   sudo yum instal git -y
   sudo yum install python -y

2. Copy the github url from the repository :

https://github.com/SiddharthaShandilya/air_quality_index_prediction.git

3. Select a Directory in local system and use

git clone https://github.com/SiddharthaShandilya/air_quality_index_prediction.git           

*Note for `git clone command`  Please make sure that you have proper internet connection. *

*Note for `python` Please try to anaconda for running the app.*  

4. Create a seperate virtual environment to avoid conflict between python libraries :

    python3 -m venv new-env 

5. Activate the virtual env: 👉 (click Here)
6. Install all the libraries for the application.

pip3 install -r requirements.txt

6. Have a look at Recommended configurations and Custom configurations.

Recommended configurations

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