Visualisation, annotation and powerful filtering tools for houses discovered on Hemnet.

Have you ever wanted to easily find the right house in the right place and that fits your budget? This real estate agency website is what you're looking for (if you live in Honduras); It was built in using JavaScript, Firebase, REST APIs, and other interesting technologies such as Cookies, Google Analytics and Intersection Observer

Interactive Map of Properties and Real Estate in Dhaka, Bangladesh, using data from BProperty.

A small approach to solving one of the many Kaggle problems

Ghana rental house price prediction using machine learning

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

Improved a linear regression model with gradient descent.

An analysis of house prices in Beijing

Built a prediction model using both ridge and lasso advanced regression methods to predict house prices.

The missing guide to London properties

Scrape housing data from German housing portal Immowelt.de and retrieve as comma separted file.

This is an insight project to help in decision-making for buying and selling houses

Production-ready ML pipeline for regression tasks with modular architecture (0.94 R², Kaggle validated)

Project for UCL module CASA0006: Data Science for Spatial Systems. Exploring the Impact of Low Emission Zones on London House Prices

Repository for Kaggle Competition : House Prices : Advanced Regression Techniques

Used to analysis house data of Nanjing city

A model is trained through random forest. Afterwards a new data is been added to predict the house price. You can change the feature as well. but when u change the feature u should change the data accordingly.

Residential property prices across three decades in Brunei Darussalam

🏡 Predict house prices using machine learning (Linear, Random Forest) with full EDA, preprocessing and model evaluation.

The goal of this project is to answer the following question: Where is a “good place” to buy a house in France and at what price? see readme file for info.