Machine Learning Made Easy (MLme): a comprehensive toolkit for machine learning-driven data analysis.

Akshay Akshay Mitali Katoch Navid Shekarchizadeh Masoud Abedi Ankush Sharma Fiona C Burkhard Rosalyn M Adam Katia Monastyrskaya Ali Hashemi Gheinani

Published in: GigaScience (2024)

MLme serves as a valuable resource for leveraging ML to facilitate insightful data analysis and enhance research outcomes, while alleviating concerns related to complex coding scripts. The source code and a detailed tutorial for MLme are available at https://github.com/FunctionalUrology/MLme.

Keyphrases

data analysis
machine learning
artificial intelligence
big data
deep learning
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