Skip to main content

No project description provided

Project description

Banking Project

This is the banking project contains models on customer chrun, revenue prediction, and more. For queries contact apurv@shorthillstech.com.

Installing

pip install pybanking

Usage

>>> from pybanking.example import custom_sklearn
>>> custom_sklearn.get_sklearn_version()
'0.24.2'
>>> from pybanking.churn_prediction import model_churn
>>> df = model_churn.get_data()
>>> model = model_churn.pretrained("Logistic_Regression")
>>> X, y = model_churn.preprocess_inputs(df)
>>> model_churn.predict(X, model)

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

pybanking-0.6.tar.gz (4.0 kB view hashes)

Uploaded Source

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