MariusNea/Aurora
Problem solving focused statistical and machine learning software toolkit. Think of it as any spreadsheet software, but empowered with plug'n'play tools for statistics and machine learning. More tools are added frequently by using plugin functionality.
Aurora is a user-friendly toolkit that helps you apply advanced statistical analysis and machine learning to your data without needing specialized coding skills. You feed in your structured data, typically from a CSV file, and it outputs insights like predictions, classifications, or outlier detection. It's designed for anyone who makes data-driven decisions, such as researchers, business analysts, or operations managers.
No commits in the last 6 months.
Use this if you need to perform statistical tests (like ANOVA or Mann-Whitney U) or apply machine learning models (like regression, classification, or anomaly detection) to your data but prefer a point-and-click interface over writing code.
Not ideal if you require deep customization of algorithms, need to build highly complex, multi-stage data pipelines, or are already proficient in programming languages like Python for data analysis.
Stars
30
Forks
1
Language
Python
License
GPL-2.0
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
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