Topic: house-prices Goto Github
Some thing interesting about house-prices
Some thing interesting about house-prices
house-prices,My code (in R), submission files, and saved data for the challenge to predict house prices using advanced regression techniques (from the given data with around 80 features) in Kaggle. Read the README file for more details.
User: aarushi-pandey
house-prices,A small approach to solving one of the many Kaggle problems
User: abhi7585
house-prices,Twitter bot that serves daily house price index updates
User: aidando73
Home Page: https://twitter.com/AdlHouseTicker
house-prices,In depth EDA on Ames Housing dataset from Kaggle and Regression model to predict house prices.
User: akashsdas
house-prices,Complete algorithm that I developed for the Kaggle competition to predict the price of houses using regression methods with machine learning.
User: andre442
house-prices,ποΈ Project Predicting House Prices (Python)
User: andryadsm
Home Page: https://aadsm2355.wixsite.com/andryadsm/predicting-house-prices
house-prices,The goal of this project is to answer the following question: Where is a βgood placeβ to buy a house in France and at what price? see readme file for info.
User: ashish-3
house-prices,Built a prediction model using both ridge and lasso advanced regression methods to predict house prices.
User: atrishi
house-prices,Let's participate in the House Prices competition of Kaggle with {mlr} and {ranger}.
User: be-favorite
Home Page: https://be-favorite.github.io/Kaggle-Houseprice/
house-prices,Web crawler for house price index and relevant economic indices
User: cloudy-sfu
house-prices,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.
User: danialkhilji
house-prices,With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, the challenge is predict the final price of each home.
User: dataengel
house-prices,Using ML to estimate the price of properties in Argentina
User: dewith
house-prices,Scrape housing data from German housing portal Immowelt.de and retrieve as comma separted file.
User: dullibri
house-prices,This is an insight project to help in decision-making for buying and selling houses
User: edneide
house-prices,An analysis of house prices in Beijing
User: eiliajafari
house-prices,Visualisation, annotation and powerful filtering tools for houses discovered on Hemnet.
User: ewels
house-prices,My first Kaggle competition
User: ida-code88
Home Page: https://www.kaggle.com/ideayahya/house-price-prediction
house-prices,If you liked my analysis, pls upvote my notebook!
User: ishan-kotian
Home Page: https://www.kaggle.com/lykin22/house-prices-linear-ridge-regression
house-prices,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. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.
User: jijopjames
house-prices,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
User: jorgeabrahan
Home Page: https://inmozuniga.com
house-prices,The missing guide to London properties
User: karl-chan
house-prices,A preliminary data driven study on Toronto house prices
User: kristpapadopoulos
house-prices,Download House Price Data from <nationwide.co.uk>
User: kvasilopoulos
Home Page: https://kvasilopoulos.github.io/nationwider/
house-prices,This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
User: lopez-christian
Home Page: https://lopez-christian.github.io/2020-04-25-house-prices-linear-regression-project/
house-prices,A machine learning project focused on predicting house prices, featuring data preprocessing, model building, and deployment as a web application.
User: md-emon-hasan
Home Page: https://house-price-prediction-ml-apps.onrender.com
house-prices,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.
User: mohsin-riad
Home Page: https://california-house-price.onrender.com/
house-prices,Using Random Forest, XGBoost to precisely predict Housing Prices
User: motua16
house-prices,A ShinyR app for analyzing recently sold data from Redfin.com to find comparables of homes you maybe interested in purchasing.
User: navinvarma
house-prices,Create an excel report that contains all the meaningful information such as relevant charts, pivot tables, etc. Mention all the variable which are highly correlated. Used the linear regression model to train and forecast the houses sold in the year 2017 based on 2016 data. Interpret essential findings from the model.
User: nitinnandeshwar
house-prices,Exploring data on house prices using K means and hierarchical clustering
User: ownkng
house-prices,Exploring data on house prices using linear regression
User: ownkng
house-prices,[Project Repository] Housing market speculation.
User: pedrofratucci
house-prices,Repository for Kaggle Competition : House Prices : Advanced Regression Techniques
User: samacker77
house-prices,Using a split violin plot to analyse the distribution of freehold and leasehold new and existing median purchase price in 2017
User: thenerdycat
house-prices,Lasso Regression based notebook for the kaggle knowledge based House Prices: Advanced Regression Techniques competition
User: vansh1010
house-prices,Used to analysis house data of Nanjing city
User: w4356y
house-prices,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.
User: walidkw
Home Page: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques
house-prices,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.
User: xiaorongw
Home Page: https://proplocate.shinyapps.io/dashboard/
house-prices,Interactive Map of Properties and Real Estate in Dhaka, Bangladesh, using data from BProperty.
User: yasserius
Home Page: https://dhaka-property-prices.herokuapp.com/
house-prices,Determining the best model to predict house prices in Kings County, Seattle.
User: yeshi341
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