tkpratardan/lemma

AI harness for DS/ML workflows.

4Stars on the repository
23Mods indexed here, across every type
22d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

lemma-baseline

01

tkpratardan/lemma

Skill Claude CodeCodex

Establish a dumb baseline and an honest validation harness before any real model, so every later number means something.

4 22d ago A 26 tokens original MIT

lemma-causal

02

tkpratardan/lemma

Skill Claude CodeCodex

Rigor for causal questions and A/B tests (the effect of acting on X): confounding, post-treatment bias, valid control groups.

4 22d ago A 32 tokens original MIT

lemma-describe

03

tkpratardan/lemma

Skill Claude CodeCodex

Rigor for descriptive and diagnostic analytics (what happened and why): denominators, grain, and confounded slices, not model leakage.

4 22d ago A 31 tokens original MIT

lemma-eda

04

tkpratardan/lemma

Skill Claude CodeCodex

EDA kickoff for a fresh dataset: fixed opening scaffold (goal, imports, load, sanity), then chapters derived from the data; scan leakage, land a baseline.

4 22d ago A 37 tokens original MIT

lemma-inference

05

tkpratardan/lemma

Skill Claude CodeCodex

Rigor for statistical inference (is the difference real): hypothesis tests, power, multiple comparisons, effect size over p-value.

4 22d ago A 29 tokens original MIT

lemma-leakage

06

tkpratardan/lemma

Skill Claude CodeCodex

Audit a dataset or pipeline for the five leakages that inflate a metric: target, preprocessing, temporal, group, and sampling.

4 22d ago A 31 tokens original MIT

lemma-model

07

tkpratardan/lemma

Skill Claude CodeCodex

Final modeling once the baseline and feature set are locked: tune against validation, audit overfitting, touch the test set once, justify the complexity.

4 22d ago A 33 tokens original MIT

lemma-review

08

tkpratardan/lemma

Skill Claude CodeCodex

Review a notebook or analysis for data-science anti-patterns before it's trusted or shared.

4 22d ago A 21 tokens original MIT

lemma-unsupervised

09

tkpratardan/lemma

Skill Claude CodeCodex

Rigor for clustering, dimensionality reduction, and anomaly detection: validity is stability under resampling, not a held-out score.

4 22d ago A 31 tokens original MIT

lemma-wrangle

10

tkpratardan/lemma

Skill Claude CodeCodex

Assemble a trustworthy working dataset from messy or multiple sources: grain, keys, joins with match rates, extraction checks, lineage.

4 22d ago A 31 tokens original MIT