Data Science Toolkit : an all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort

Data Science Toolkit : an all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort El Hachimi C. auteur aut IRD Belaqziz S. auteur aut IRD Khabba S. auteur aut IRD Chehbouni Abdelghani auteur aut IRD text journalArticle eng text/pdf reformatted digital access Data Science Toolkit (DST) is a python library built as a wrapper layer on top of several libraries to increase the abstraction level of the code, making its users more efficient and productive. The current version is widely used in our ongoing research activities that focus on optimizing agricultural management practices using artificial intelligence. DST adopts an object-oriented approach in implementing data science algorithms and is therefore composed of multiple classes such as the DataFrame class that adds additional functionalities to the standard pandas dataframe and the Model class that facilitates the building, training, and evaluation of machine learning models. specialized Data science Machine learning Data processing Data visualization Data representation 122 Software Impacts 12 100240 [4 p.] 2022 2665-9638 https://www.documentation.ird.fr/hor/fdi:010086036 10.1016/j.simpa.2022.100240 2665-9638 [F B010086036] https://www.documentation.ird.fr/hor/fdi:010086036 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-10/010086036.pdf IRD - Base Horizon / Pleins textes 2022-10-07 2025-02-24 fdi:010086036 fre