Real-Estate-Price-Prediction-Project

• Screen resolution: 1366x768
• This is the user interface of our web app to predict the estimate price for a house.

Project Description

This is a Machine Learning & Data Science Project that we will try to build a predicting model to find the estimate price for a house by entering the related data about this particular house. Of course, we will have to clean the data & make a simple EDA to understand it more.

.
├── client
│   ├── app.css
│   ├── app.html
│   ├── app.js
│   └── rsc
│       └── bg.jpg
├── model
│   ├── columns.json
│   ├── Real Estate Price Prediction.pickle
│   └── Real Estate Price Prediction Project.ipynb
├── README.md
└── server
    ├── rsc
    │   ├── columns.json
    │   └── Real Estate Price Prediction.pickle
    └── server.py

Tools used:

• Languages:

  • Python
  • JavaScript
  • HTML
  • CSS

• Framework:

  • Flask

• Packages:

  • Matplotlib
  • Seaborn
  • Sklearn
  • Pandas
  • Numpy
  • Pickle
  • Json
  • JQuery

• Environment:

  • Jupyter Notebook
  • PyCharm IDE

• Software:

  • Postman

I hope you will find it inspiring and useful.

By TATI. 08-OCT-22