houses
There are 2 repositories under houses topic.
emanhamed / Houses-dataset
This is the first benchmark dataset for houses prices that contains both images and textual information that was introduced in our paper.
khizarsiddiqui / Tax-Calculation-System
Tax Calculating System using Java that provides taxes for properties(houses), vehicles(buses) based on their capacity, location, and velocity.
Language:Java 6kcgidw / three-houses-syllabus
Fire Emblem: Three Houses run planner
Language:JavaScript 4orsinium-labs / huispedia
Python library to get information about houses from huispedia.nl
Language:Python 410mudassir007 / Multiple-Domain-Prices-Estimator
A prices estimator comprising of various items using machine learning
Language:Python 2codeperfectplus / BengaluruHousePriceRegression
Bengaluru House :house_with_garden: Price Using Regression
Language:Jupyter Notebook 2- Language:Java 2
Spazcool / i-spy-refi
A personal home refinance assessment app.
Language:JavaScript 2- Language:Java 2
Tushrivastava / Tenant-Data-Analysis-SQL
Tenant Data Analysis by SQL
- Language:C++ 1
AviralJ58 / California_Housing_Prices
Regression Machine Learning Model
Language:Jupyter Notebook 1ChrisYeomans / House-Price-Prediction
Predict house prices in Ireland based on location using a database of previous house prices and locations.
Language:Python 1eduardogeisel / eFinance
An app that where the user can calculate the financing of expensive products, like cars and houses.
Language:Java 1nathanielburman / cult-coral-cult
Coral is a living organism and a natural living housing structure.
sajadkhosravani1 / canadaHouse
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.
Language:Python 1- Abandoned_Locations
sourceduty / Abandoned_Locations
🏚️ Leveraging AI to analyze abandoned buildings and properties.
AxelRudz / Home-Sweet-Home
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.
Language:HTML 0CristyCarmona / MX_Real_State_Project
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.
Language:CSS 0George-Nyamao / AI_Platform_Engineering
A repository of the projects during Machine Learning training at Tampa, FL.
Language:Jupyter Notebook 0Jalgoz / Nexter
Página de practica. Esta página es de bienes raíces aquí podrás ver y buscar las casas de lujo que mas te llamen la atención.
Language:CSS 0- Linear-Regression-Housing-Price-Analysis
kristen770 / Linear-Regression-Housing-Price-Analysis
Linear Regression predicting King County Housing Data Modeling
Language:Jupyter Notebook 0 - Language:Python 0
- House-Hunter
OddMattHatt3r / House-Hunter
HouseHunter is a Java application developed during my first semester of college for my Computer Science Principles class. It takes user input regarding their specific preferences for a new home and provides direct links to three popular house hunting websites, pre-filtered to match the user's criteria
Language:Java 0 rainmaker29 / Advanced-Regression
Predicting house prices using Regression techniques but this time with around 80 properties of houses !
Language:Jupyter Notebook 0rzaharia / Django-House-View
It presents available houses for the interested customers, where they can interact with the people who posted them
Language:CSS 0SamuelLawrence876 / Analysing-Berlin-AirBnB-Rental
An Analysis of Berling AirBnB Rentals from Kaggle
Language:Jupyter Notebook 0Wouter1997 / investigating-funda
Workflow for downloading Funda data for several cities, cleaning, running regression and creating a Shiny App.
Language:R 0bparedes21 / Clasificacion_en_el_Mercado_Inmobiliario
Descripcion del Proyecto: Analisis y Clasificacion en el Mercado Inmobiliario 🏡💼
Language:Jupyter NotebookEddie4k-code / View-Recently-Sold-Houses-Python
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.
Language:Pythonpauladanielafarias / bienesraices
Página web para una inmobiliaria de bienes raíces.
Language:HTML- Language:Python
- Building_Plan
🏗️ Assistive step-by-step architectural building planner.
- House_Design
🏠 Create, plan and update house designs using DALL-E 3.
- House_Manufacturing
🏘️ Factory constructed prefabricated modern houses transported and delivered by road.
