Skip to main content

package to assist with data analytics in real estate

Project description

pyRealEstate

pyRealEstate is a package designed for data scientists working in the real estate industry. This Library aims to provide tools to help in the preprocessing of data, feature engineering and evaluation of AVM's (Automated valuation models). Some of metrics provided in this library are the COD ( coeficient of Disspersion), PRD ( Price Relted Differential) and weighted mean for example. pyRealEstate is still currently under development but is aimed at providing functions to assist in the development and evaluation of AVM's sp please continually check for updates .

Instilation

Simply run:

pip3 install pyRealEstate

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyRealEstate-0.0.3.tar.gz (2.9 kB view hashes)

Uploaded Source

Built Distribution

pyRealEstate-0.0.3-py3-none-any.whl (3.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page