🏘️ Project Predicting House Prices (Python)
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Updated
Jun 21, 2024 - Jupyter Notebook
🏘️ Project Predicting House Prices (Python)
An analysis of house prices in Beijing
Web crawler for house price index and relevant economic indices
Scrape housing data from German housing portal Immowelt.de and retrieve as comma separted file.
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
The missing guide to London properties
Visualisation, annotation and powerful filtering tools for houses discovered on Hemnet.
Twitter bot that serves daily house price index updates
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.
This repository contains code for an end-to-end web application that predicts house prices. The app is built using Python and Flask, and includes a machine learning model that has been trained on a dataset of house prices.
A ShinyR app for analyzing recently sold data from Redfin.com to find comparables of homes you maybe interested in purchasing.
Let's participate in the House Prices competition of Kaggle with {mlr} and {ranger}.
This is an insight project to help in decision-making for buying and selling houses
With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, the challenge is predict the final price of each home.
Complete algorithm that I developed for the Kaggle competition to predict the price of houses using regression methods with machine learning.
If you liked my analysis, pls upvote my notebook!
This project aims to do a exploratory data analysis of house prices in America. Another of of this project is to do the analysis in shortest time therefore automatic EDA packages are used.
A centralised visualisation platform for housing prices to enable more informed purchasing decisions. This dashboard aims to expand on the HDB map service and extend analysis to include both public and private properties.
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