eda-audit

Name: eda-audit
Rating: 5 (2 reviews)
Author: subarnasaikia

Structured EDA audit for tabular competitions — target distribution, missing values, leakage scan, class imbalance, feature types, outliers, train/test shift. Use when the user says "do EDA", "audit the data", "explore the dataset", "check for leakage", or when starting a new tabular competition.

2stars

Updated 2 months ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add subarnasaikia/kaggle-skills

The exact command may vary by repository. Check the README on GitHub.

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#ai #test

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EDA Audit — Tabular Competition

Systematic first-look at a competition dataset. Produces a structured report so you know what you're working with before touching a model.

When to use

First time you touch a new competition's data.
Before designing a CV strategy (need to know if data is temporal, grouped, etc.).
When CV/LB mismatch appears (often a leakage or distribution issue).
When a model has unexpectedly high or low performance.

Setup

cd competitions/<slug>
source

[Description truncada. Veja o README completo no GitHub.]

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