README.md

Time Series Forecasting: House Prices in Kuala Lumpur, Malaysia

Course Info

Name: Data Science Master's Project

Code: WQD7002

Title: Real Estate Price Forecasting for Purchase Decision Making

Project Structure

1. adr: Architectural decision records
2. data: Datasets
3. scraper: Web scraper for Brickz.my website
4. notebooks: ML notebooks for EDA, data cleaning and model development
5. models: Trained ML models (.skops and .joblib)
6. app: Source code for web app
7. assets: Image assets

Web App

The app is available at https://kl-house-price-forecasting.streamlit.app/

Disclaimer

By using this project in any means e.g. clone, fork, modify, deploy, you agree to the following terms and conditions:

• This is an academic project and not tested for commercial use. The author(s) will not be liable for any damages incurred due to the use of this project.
• The data is up to date as of 19 June 2023. The author(s) will not be liable for any damages incurred due to the use of outdated data.