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10 best Python Data Labelling libraries in 2022

by naveen.kumar@openweaver.com

The data labelling industry is maturing quickly. This has led to an explosion of new tools, data labelling libraries and platforms for training machine learning models over the past few years. Python is the most popular programming language for Data Science. It is very easy to learn and there are many applications of it in the field of Data Science. Python has many libraries for Machine Learning and Data Science. Popular open source Python libraries include: Pandas - pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Label-studio - Label Studio is a multitype data labeling and annotation tool. In this kit, you can find 10 best Python Data Labelling libraries, that can be used to train your machine learning algorithms.
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