eyayaw/the-monocentric-city-gradients-addis-ababa

Georeferenced housing data for Addis Ababa

Language: Python - Size: 446 KB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 0 - Forks: 0

atse0612/Housing-

Regression analysis on housing prices around a local area in Oakland.

Language: R - Size: 1000 Bytes - Last synced: 23 days ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 1

lwgray/housing_kdtree

Predicting Housing Prices using K-Nearest Neighbors

Language: Jupyter Notebook - Size: 126 KB - Last synced: 26 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

AnthonyBloomer/daftlistings

A library that enables programmatic interaction with daft.ie. Daft.ie has nationwide coverage and contains about 80% of the total available properties in Ireland.

Language: Python - Size: 447 KB - Last synced: 25 days ago - Pushed: 6 months ago - Stars: 160 - Forks: 52

atse0612/Side-Projects-For-Fun

Various topics with different sets of data.

Language: Jupyter Notebook - Size: 22.3 MB - Last synced: 23 days ago - Pushed: over 5 years ago - Stars: 12 - Forks: 4

eyayaw/housing-supply-elasticity-in-germany

Replication code for my paper `Geographic determinants and the price elasticity of housing supply in Germany`

Language: TeX - Size: 147 MB - Last synced: 30 days ago - Pushed: 30 days ago - Stars: 2 - Forks: 0

PabloNunes/HousePrediction

This a simple model to predict housing price in King County in Washingthon. Uses Scikit Learn, Numpy. Seaborn, Pandas, Scipy.

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UBC-MDS/DSCI-532_2024_15_dreamhouse

A dashboard to help inform newcomers to the real-estate market explore the the markets of the 50 most populous cities in the US.

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Taweilo/usa-house-price-prediction

Using linear regression method to predict USA house price

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RubixML/Housing

An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

Language: PHP - Size: 617 KB - Last synced: 27 days ago - Pushed: over 1 year ago - Stars: 46 - Forks: 22

darthdaenerys/California-Housing-Prices

This project is a web application that predicts housing prices in California based on various parameters. It integrates a machine learning model trained on historical housing data to provide accurate predictions.

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Shinichiro-Iwata/lecture-notes-urban-econ

Lecture Notes on Urban Economics Insights, covering topics such as housing, transportation, and urban issues.（都市経済学講義ノート）

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LinaYorda/prediction-housing-datset

This project aims to build classification and regression models for housing data using supervised machine learning techniques.

Language: Jupyter Notebook - Size: 418 KB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

SangLiang/ChangshaHousingPricesList

A Changsha housing prices list program by WeiXin small APP

Language: JavaScript - Size: 36.1 KB - Last synced: 2 months ago - Pushed: over 7 years ago - Stars: 0 - Forks: 1

AnthonyBloomer/smartmove-api

An API to retrieve property price statistics in Ireland and the UK.

Language: Python - Size: 37.1 KB - Last synced: 26 days ago - Pushed: over 1 year ago - Stars: 5 - Forks: 0

AnthonyBloomer/zoopla

An API to allow developers to create applications using hyper local data on 27m homes, over 1m sale and rental listings, and 15 years of sold price data in the UK.

Language: Python - Size: 84 KB - Last synced: 25 days ago - Pushed: over 2 years ago - Stars: 77 - Forks: 23

vishalv91/capstoneproject-realestate

Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. Project challenge(s): MEDV (Median value of homes in Boston) was identified as the dependent variable. While the rest, were the independent variables. The goal was to find out which among the independent variables were statistically significant in driving the house prices (MEDV). The dataset consisted of missing values and outliers. Some of the variables had a skewed distribution. There was multicollinearity among few independent variables. Our Approach: Prior to model building, we tidied up our dataset by eliminating the rows that contained missing values. Replacing the missing values with median and mean of those variables were also done. Considering the three approaches, median imputation(replacing missing values with mean) was found to be the best approach. As the dependent variable "MEDV" (median value of houses) was continuous(numerical) in nature, we implemented the Multiple linear regression to build our model. Additional models were built from Decision trees and Random forest. On further investigation, we discovered that the dependent variable had a skewed distribution. By log transformation of this variable, we were able to get a normal distribution. Post transformation, we found out that the model built from Multiple linear regression with log transformed MEDV was the best in terms of MSE (Mean squared error) value and Adjusted R^2. All the assumptions of linear regression were met.

Language: R - Size: 1.63 MB - Last synced: 3 months ago - Pushed: about 6 years ago - Stars: 1 - Forks: 5

HarryHanself/data_analytics_airbnbs

Airbnbs Analytics Based on 2019 Data

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Bruncafc1992/PortfolioDA

Portafolio de proyectos de Análisis de Datos

Language: Jupyter Notebook - Size: 3.61 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

yikuany/county-housing-prices

The study employs Moran’s I statistic and Local Indicators of Spatial Association (LISA) to analyze spatial patterns and dependencies in housing prices across U.S. counties.

Language: Jupyter Notebook - Size: 29.2 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

harry-s-grewal/mls-real-estate-scraper-for-realtor.ca

Python MLS and Real-Estate Data Scraper for the Realtor.ca Website

Language: Python - Size: 10.7 KB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 29 - Forks: 10

ekanshpathak/EDA-Projects

Group repo of all EDA Projects

Language: Jupyter Notebook - Size: 1.03 MB - Last synced: 5 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

Salmaki-hub/Real_estate_scraper

The following project focuses on scraping houses information that are available for rent in UK. The website I used is "Your Move".

Language: Python - Size: 7.81 KB - Last synced: 5 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

indrayantom/ames_ggplot2_visualization

Contains data visualization hands-on using Ames Housing Prices dataset from Kaggle. Done with tidyverse environment in R (Rstudio). Also was submitted as Homework Day 12 : Data Visualization in R .

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mouli3029/housingPrice_prediction

Housing prediction deployed on Flask

Language: HTML - Size: 2.08 MB - Last synced: 5 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

syedmfuad/aaec6308

Demo codes for Advanced Natural Resource Economics course by Dr. Farmer and TA-ed by yours truly.

Language: R - Size: 46.9 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

AnvithaChaluvadi/Housing-Analysis_Module6Challenge

In this assignment, I'll use numerical/visual aggregation, interactive visualizations, widgets, and explore the geospatial relationships in the data by using interactive visualizations with hvPlot and GeoViews.

Language: Jupyter Notebook - Size: 913 KB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

wavyrai/London-Housing-Model

This repository contains the code to build a prediction engine for London housing prices

Language: Python - Size: 15.2 MB - Last synced: 6 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

manuasir/Heatmap-Andalucia

Heatmap visualization about prices of sold out houses in Andalucía

Language: JavaScript - Size: 1.3 MB - Last synced: 6 months ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0

MariaDimopoulou/House-Prediction-Prices

Predicting house prices using linear regression models based on different features.

Language: Jupyter Notebook - Size: 1000 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

sls-mdr/nf1-project-regression

First project at neuefische DS Bootcamp it was about the EDA and a multi regression real estate pricing on a dataset of King County (Washington, USA).

Language: Jupyter Notebook - Size: 45.7 MB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

syedmfuad/fmm

R, Julia and Python implementation of the two submarket fully endogenized finite mixture model used in forthcoming articles by Fuad and Farmer (202-) and Fuad, Farmer, and Abidemi (202-).

Language: R - Size: 81.1 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

eyayaw/cleaning-RWI-GEO-RED

R scripts for cleaning Immoscout24/RWI-GEO-RED data

Language: R - Size: 265 MB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 2

bsenst/housing-germany

Machine learning project based on the Kaggle "Apartment rental offers in Germany" dataset for the Data Talks Club Machine Learning Zoomcamp 2023.

Language: Jupyter Notebook - Size: 144 KB - Last synced: 2 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

amogh-chavan/HousingPricepredictionMLmodel

This model predicts housing price based on square feet, It has details comments which explain various terms

Language: Jupyter Notebook - Size: 27.3 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

MathisBurger/Immocalc

An simple ROI calculation app for the german housing market

Language: Swift - Size: 47.9 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

RayTech1000/Housing_Prediction

A project that is used to predict median value of houses from California in SAS programming. A glmselect and reg procedure was used to analyze the prices.

Size: 1.54 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

johnathanalyst/Excel-Net

A neural network in a single Excel spreadsheet.

Size: 1.47 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

divyachandramouli/Impact-of-recession-on-housing-prices

Evaluated the impact of recession on housing prices with data from Zillow research

Language: Jupyter Notebook - Size: 21.5 KB - Last synced: 7 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

nepiskopos/california-housing-regression

Machine Learning and Deep Learning techniques for regression.

Language: Jupyter Notebook - Size: 6.05 MB - Last synced: 7 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

anna-dang/mod02-linear-regression

House price predictive modeling using linear regression techniques. My first modeling project! Skills demonstrated: Pandas, feature engineering, standardization, encoding, interpreting model performance/error, visualizations.

Language: Jupyter Notebook - Size: 65.6 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 2

Dan-Irl/House-Price-Prediction

Prediction of house prices using ML on the Swedish housing market

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arashshams/Toronto_Housing_Prices

This repository hosts a statistical analysis to investigate why houses are so expensive in Toronto.

Language: Jupyter Notebook - Size: 9.77 MB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

jaezak/dubai_housing_predictions

Final group project for Northwestern Data Science and Visualization Bootcamp. A machine learning model created to predict housing prices in Dubai using a dataset of 80k+ transactions dated January-June 2023.

Language: HTML - Size: 22.2 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

thornoe/sds_2018

Exercises and project on predicting housing prices for Social Data Science course at UCPH

Language: Jupyter Notebook - Size: 47.3 MB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Gerardoj09/House_Pricing_Prediction

Online calculator to predict the price of houses using the data collected from Ames, Iowa

Language: Jupyter Notebook - Size: 4.47 MB - Last synced: 9 months ago - Pushed: about 2 years ago - Stars: 3 - Forks: 0

adogb/housing-market-dk

Exploration and visualisation of the housing market in Denmark, using web scraping

Language: Python - Size: 112 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

knchanu/Neha_MachineLearningProject Fork of HiddenFigure/Neha_MachineLearningProject

https://www.kaggle.com/c/house-prices-advanced-regression-techniques#evaluation

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hayato-n/BayesianMarketSegmentation

Bayesian Market Segmentation Algorithm for Hedonic Analysis

Language: Jupyter Notebook - Size: 321 KB - Last synced: 9 months ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 0

arishty/ml-housing

Machine learning project that predicts house values in Ames, Iowa and calculates the most profitable ways to flip homes.

Language: Jupyter Notebook - Size: 3.09 MB - Last synced: 10 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 3

kunal-kotian/MSAN601_Housing_Study

Size: 570 KB - Last synced: 10 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

the4dpatrick/kaggle-housing-prices

Housing Price Kaggle Competition

Size: 0 Bytes - Last synced: 10 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0

jyu-theartofml/Kaggle_HousePricing

Comparison of R methods for regression of pricing data

Language: R - Size: 441 KB - Last synced: 10 months ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0

imsatyamshandilya/ML-housing_price_prediction

Using a machine learning model, California housing price prediction is made based on various factors such as location, square footage, number of bedrooms, and more. The model analyzes historical data to provide accurate estimations, aiding potential buyers and sellers in making informed decisions.

Language: Jupyter Notebook - Size: 1.23 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

hantablack9/House-Price-Prediction-kaggle

Ames dataset: House Price prediction for kaggle competition (advanced regression, supervised ML)

Language: Jupyter Notebook - Size: 5.82 MB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

SXKA/California-Housing-Prices-Linear-Regression

Gradient descent linear regression for https://www.kaggle.com/datasets/camnugent/california-housing-prices

Language: Python - Size: 1.73 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 2 - Forks: 0

teche74/WorldQuant_Housing_in_Buenos_Aries

Completing Project by WorldQuant University in Datascience to gain experience in python programming

Language: Jupyter Notebook - Size: 737 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

cholitoary/House-Price-Prediction

house price prediction model for House Prices - in kaggle competition

Language: Jupyter Notebook - Size: 2.29 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

aahouzi/Optimization-for-Machine-Learning

Implementation of 11 variants of Gradient Descent algorithm from scratch, applied to the Boston Housing Dataset.

Language: Jupyter Notebook - Size: 697 KB - Last synced: 12 months ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 0

YingtongAamandaWu/Rshiny_app_Zillow_Data_realestate

An Rshiny web-based app for visualizing some 2023 Zillow real estate data, and to calculate some key metrics in real estate investments.

Language: R - Size: 8.79 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

korkridake/sgproperty-trends

Analyse and Visualize Home Buying and Home Rental for Different Areas in 🇸🇬

Size: 707 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

gwuah/lamaison

One place for tertiary students and workers to find affordable hostels/housing

Language: JavaScript - Size: 43.9 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

RobinMillford/NashvilleHousing

It's a Data cleaning project with SQL

Size: 5.64 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

sasoria/housing-prices

A simple cli that finds the latest Norwegian housing prices

Language: JavaScript - Size: 136 KB - Last synced: 28 days ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

O1sims/Sukasa

:house: Web application that detects and reports Northern Irish property price imperfections

Language: Python - Size: 62.1 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 1

benjaminweymouth/Housing-Market-Forecasting-Time-Series-Analysis

This repo uses Natural Langauage Processing, time series analysis, and ARIMA to explore predictive housing trend analysis.

Language: Jupyter Notebook - Size: 41.7 MB - Last synced: 4 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 1

cydalytics/HK_Properties_Price_Distribution

Using rayshader to visualise 3D data with Hong Kong map

Language: R - Size: 26.4 MB - Last synced: almost 1 year ago - Pushed: over 2 years ago - Stars: 18 - Forks: 9

syed-asif-mn/housing-price-prediction

Housing Price Prediction for New York Housing Dataset using PySpark. Built and tested with AWS EC2 Ubuntu instance.

Language: Jupyter Notebook - Size: 69 MB - Last synced: almost 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

AditiShanmugam/HousingPricePredictions

Implementing a Linear Regression algorithm to predict housing prices.

Language: Jupyter Notebook - Size: 2.29 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

MahrooSh85/ML_Playground

Here, I am sharing my summary of machine learning algorithms and my solution of some well-know Machine Learning projects.

Language: Jupyter Notebook - Size: 2.23 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

chvieira2/housing_crawler

Web crawler to collect housing information

Language: Python - Size: 192 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

sauravwel/Boston-Housing-Price-Prediction-using-Deep-Learning

This project uses deep learning techniques to predict median housing prices in the Boston area using the Boston Housing dataset. The model employs TensorFlow, Keras, and Numpy, with a mean squared error loss function and Adam optimization algorithm. The results show high accuracy.

Language: Jupyter Notebook - Size: 4.88 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Realiserad/bostadskollen 📦

Övervaka Stockholms bostadskö.

Language: Java - Size: 11.4 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

julianprieto21/GBA_Houses_EDA

Exploratory Data Analisys of housing in the Gran Buenos Aires (GBA), Argentina. The data was collected from MercadoLibre Ar.

Language: Jupyter Notebook - Size: 447 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

MUSA-550-Fall-2022/week-11

Predictive Modeling Part 1: Home Prices in Philadelphia

Language: Jupyter Notebook - Size: 15.5 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 2

OLAMIDE100/House_Price_Prediction

It provides the market historical data set of real estate valuations which are collected from Sindian Dist., New Taipei City, Taiwan

Language: Jupyter Notebook - Size: 42 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

uragirii/Machine-Learning-Practice

This repository consists of all different algorithms I applied on the various Datasets. This repository consists of simple python code for working on common datasets.

Language: Python - Size: 12.7 KB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 2 - Forks: 0

suwarna93/-The-Boston-Housing-Dataset

Project-4- The Boston Housing Dataset “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.

Language: Jupyter Notebook - Size: 73.2 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

welijahclark/SAS-Housing-Demand-Econometrics

A SAS analysis project on US housing demand

Language: SAS - Size: 2.31 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

eric8395/Housing_Market_Linear_Regression

Multiple linear regression prediction model for sale price of homes. Practiced data cleaning, preprocessing, and regression modeling techniques.

Language: Jupyter Notebook - Size: 23.6 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

teomotun/US-Housing-Market-Analysis Fork of cmarchini19/US-Housing-Market-Analysis

Review of United States’ housing data since the housing market collapsed in 2008 to identify how the market has or has not rebounded between then and 2019, determine what consumer/market factors affect prices, and show what prices may look like in the future.

Size: 68.3 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 4 - Forks: 1

tiwari91/Housing-Prices

Kaggle Competition - House Prices: Advanced Regression Techniques

Language: Python - Size: 185 KB - Last synced: about 1 year ago - Pushed: about 7 years ago - Stars: 7 - Forks: 15

samrat-halder/singapore-house-prices-with-xgboost

Housing price prediction with machine learning

Language: Jupyter Notebook - Size: 1.51 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

fpozoc/ML-engineer-interview-task

Predicting rental prices with Machine Learning and Natural Language Processing

Language: HTML - Size: 10.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

hassan-ademola/Washington-Housing-Prices-Predictions

A machine learning project that explores and predicts the prices of houses in Washington, USA

Language: Jupyter Notebook - Size: 5.62 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 4 - Forks: 0

kwarzeski/housing_data

4 person project analyzing Miami Housing Prices in 2016, identifying main drivers of prices. Utilized Kaggle, Python, SQLite, scikit-learn, and Tableau.

Language: Jupyter Notebook - Size: 16.9 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

AxelLi2001/Seattle-Housing-Prices

R project on building models to predict Seattle Housing Prices

Size: 394 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

rifqinvnd/Berlin-Airbnb-Housing-Regression-and-Clustering

Airbnb house-renting at Berlin prices prediction using Regression including EDA, Data Preparation, and Modeling.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

trujamal/assess-swift

The app was designed around creating an AR iOS Application that implemented Zillow API, Google Cloud Platform, and also using Mongo DB for our database. This app allows users to receive basic housing information right at your fingertips.

Language: Swift - Size: 4.46 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 3 - Forks: 1

iamgiolaga/ridge-regression

A project performed at Università degli Studi di Milano for "Statistical Methods for Machine Learning" course.

Language: Jupyter Notebook - Size: 47.2 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

msahamed/geophy_nyc_housing_prices

Geospatial data analytics: Affects of community gardens on housing prices in New York City

Language: Jupyter Notebook - Size: 4.4 MB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 4 - Forks: 2

ricardo-hdz/flamingo_project

A data analysis of the U.S. housing market using Zillow Research and Consumer Price Index (CPI) to compare housing costs and cost of living across multiple U.S. cities.

Language: Jupyter Notebook - Size: 238 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 1

Shubh07k/HousePricePrediction

House Price Prediction

Language: Jupyter Notebook - Size: 2.77 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 3 - Forks: 2

kylejott/ImmobilienScoutRestPriceHistoryAPI

A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API

Language: R - Size: 6.84 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 3 - Forks: 1

earthat/London-House-Price-Prediction-using-NN

This one uses the NARX model to predict the forthcoming house price in months of 2017.

Language: Matlab - Size: 2.22 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 2 - Forks: 1

doscsy12/Sci-code_proj

Neural network projects at Sci-Code, Startup Lab Oslo

Language: Python - Size: 48.8 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

ShiqinHuo/wuhan_house_price_crawler

武汉东湖高新片区光谷&软件园二手房房价爬虫。data source: 房天下

Language: Jupyter Notebook - Size: 14 MB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 5 - Forks: 2

ahmedshahriar/Housing-Price-Prediction

Data science project on Housing Prices Dataset regression analysis

Language: Jupyter Notebook - Size: 422 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

CosmiX-6/regression-project-with-advance-techniques

House Prices - Advanced Regression Techniques, Predict sales prices and practice feature engineering

Language: Jupyter Notebook - Size: 4.96 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

kenrii/housing-price-prediction-app

Investors can now predict housing price movement in Finland using artificial intelligence with this new real estate investing tool. The aim of the tool is to work as a complement to traditional real estate investing which mainly relies on local knowledge and human-driven research. Application uses big data based on historic data with machine-learning algorithms to forecast the future trend of property prices so you will be one step ahead in your investment decision. Input your values and test now!

Language: Python - Size: 21.3 MB - Last synced: 30 days ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0