house-price-prediction-ml-app

This project intention to Predict different House Prices in different states in AUS. This Model helps to Real estates to quickly predict house prices in AUS.

features

Scalable webapp
Implemented in Django
Predict house prices in Aus

Installation

Use the package manager pip to install Food Apps.

pip install Nagababu-Django-Webapps

Usage (This is a resuable package using web functionalities in other projects along with custom apps )

Install Package Using the package manager pip
Create a django Project
Add webapp1,webapp2,webapp3,widget_tweaks,crispy_form to your INSTALLED_APPS setting like this
Configure webapp1,webapp2,webapp3 in urls.py
Create a email_info.py and configure the email
In settings.py include email_info.py
Enable Less secure allow access in email account
Apply migration on project and apply those migration on Database use makemigrations and migrate using command line utility called manage.py
To access Database or Admin create a Superuser visit http://127.0.0.1:8000/admin/
Run server using manage.py , once done click on generated server user http://127.0.0.1:8000/
Navigate to Home page
For registration click in Registration link on homepage
For login click in Login link on homepage , once you logged have a access to add items to cart
Menu item
Items page