There are 1 repository under houses topic.
This is the first benchmark dataset for houses prices that contains both images and textual information that was introduced in our paper.
Tax Calculating System using Java that provides taxes for properties(houses), vehicles(buses) based on their capacity, location, and velocity.
Fire Emblem: Three Houses run planner
Python library to get information about houses from huispedia.nl
A prices estimator comprising of various items using machine learning
Bengaluru House :house_with_garden: Price Using Regression
A personal home refinance assessment app.
Tenant Data Analysis by SQL
Regression Machine Learning Model
Predict house prices in Ireland based on location using a database of previous house prices and locations.
An app that where the user can calculate the financing of expensive products, like cars and houses.
Coral is a living organism and a natural living housing structure.
This is a simple web application that I made as an example. There are many things that I would like to add and improve in this project.
build cars in trucks on youtube
A repository of the projects during Machine Learning training at Tampa, FL.
Página de practica. Esta página es de bienes raíces aquí podrás ver y buscar las casas de lujo que mas te llamen la atención.
Linear Regression predicting King County Housing Data Modeling
General Assembly - Software Engineering Immersive - Project 2 - Home Checkr - Property Due Diligence
Predicting house prices using Regression techniques but this time with around 80 properties of houses !
It presents available houses for the interested customers, where they can interact with the people who posted them
This project aims to dig out raw data of house trading from a Canadian house trading website. Then insert them into our local database and visualize them into our Django-based website. And finally we are going to implement a learner agent that estimates price of houses by their features.
An Analysis of Berling AirBnB Rentals from Kaggle
Workflow for downloading Funda data for several cities, cleaning, running regression and creating a Shiny App.
Descripcion del Proyecto: Analisis y Clasificacion en el Mercado Inmobiliario 🏡💼
The project is focused on analyzing HOUSES FOR SALE of Mexico’s biggest metropolitan areas: Mexico City, Monterrey, and Guadalajara. It also identifies several factors that can influence housing decisions, such as places of interest and crime rates.
Using Realty API From RapidAPI to view houses in a location that recently sold and exporting the data to an excel file. Also within this script I use plotly to create a pie chart.
Responsive website about Tiny Houses (school assignment)
Página web para una inmobiliaria de bienes raíces.
🏠 Create, plan and update house designs using DALL-E 3.