The preprocessing module underwent a complete redesign to improve its efficiency and performance, as well as to ensure compatibility with the latest version of Scikit-Learn. Citizen Data Scientists are power users who can perform both simple and moderately sophisticated analytical tasks that would previously have required more technical expertise. The design and simplicity of P圜aret are inspired by the emerging role of citizen data scientists, a term first used by Gartner. P圜aret is essentially a Python wrapper around several machine learning libraries and frameworks in Python. This makes experiments exponentially fast and efficient. It is an end-to-end machine learning and model management tool that exponentially speeds up the experiment cycle and makes you more productive.Ĭompared with the other open-source machine learning libraries, P圜aret is an alternate low-code library that can be used to replace hundreds of lines of code with a few lines only. P圜aret is an open-source, low-code machine learning library in Python that automates machine learning workflows. Compatibility with the latest sklearn version.
Generated by Moez Ali using Midjourney In this article:
0 kommentar(er)
