Skip to main content

This package allows the users to preprocess dataframes and images, plot the data and then use ml models using a single command

Project description

What is this package and what does it do?

This package is meant to ease the lives of the analysts and data scientists by providing generalised functions for preprocessing of dataframes and images which are commonly used in Machine Learning. Additionally, using this package, one can also call various machine learning models as base models with customised data, target, and parameters to check how different models are performing.

Please check the docs: ricebowl documentation

How to use this package?

Simply do:

pip install ricebowl

and import and use after having a look at the documentation

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

ricebowl-0.5.2.tar.gz (9.6 kB view hashes)

Uploaded Source

Built Distribution

ricebowl-0.5.2-py3-none-any.whl (12.2 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