/Term_3_DDW_2D

Primary LanguageHTML

Multi-linear Regression Modelling

This project is part of 2D of our Term 3 curricular. The problem statement for our product is as follows: How might we apply statistical modelling to enable Southeast Asian Governments & NGOs to better control the price of rice for the benefit of the working class? github link: https://github.com/KinMengNg/Term_3_DDW_2D

Table of contents

  1. How to install and run
  2. How to use

How to install and run (on local computer through Github)

  1. '''git clone https://github.com/KinMengNg/Term_3_DDW_2D.git''' onto your desired destination
  2. Install all dependencies by '''pipenv install''', (requires pipenv module, if you do not have it please install using requirements.txt '''pip install -r requirements.txt'''
  3. Create a virtual environment '''pipenv shell'''
  4. run the Flask application '''flask run'''

How to install and run (on Voc)

  1. '''pipenv install'''
  2. '''pipenv shell'''
  3. '''flask run'''

How to use

Once the flask application is running,

  1. Proceed to input values of each sliders
  2. Submit the inputted values by clicking onto "Predict", and it will output the Predicted Consumer Price of Rice