tvdboom/ATOM
Automated Tool for Optimized Modelling
ATOM helps data scientists efficiently explore and compare different machine learning solutions for their specific problems. It takes raw datasets, automatically applies common data cleaning and feature engineering steps, and then trains multiple predictive models. The output provides a clear comparison of model performances, helping you quickly identify the best approach for your task.
164 stars. No commits in the last 6 months.
Use this if you are a data scientist looking to rapidly prototype and compare multiple machine learning pipelines without writing extensive boilerplate code.
Not ideal if you need fine-grained, manual control over every step of a highly customized or niche machine learning workflow.
Stars
164
Forks
15
Language
HTML
License
MIT
Category
Last pushed
Jul 15, 2024
Commits (30d)
0
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