By flyrank-bih

Works with datasets far too big to download or load in pandas — SQL over remote Parquet with DuckDB, aggregate-then-model, iterate on samples.

flyrank-bih/flyrank-ml-internship-starter

Builds the transparent rule-based baseline every model must beat — a hand-written score with reason codes, ranked output, and precision@K evaluation.

flyrank-bih/flyrank-ml-internship-starter

Deploys a static page (research paper, portfolio piece) for free from a GitHub repo using GitHub Pages — setup, file layout, verification, and recording the final URL.

flyrank-bih/flyrank-ml-internship-starter

Frames a data/ML problem before any modeling — the decision, the action, the cost of a wrong call, task type, target, and success metric.

flyrank-bih/flyrank-ml-internship-starter

Trains a first model the honest way — method chosen to fit the question, compared against the baseline on the same split and metric, errors read before scores are believed.

flyrank-bih/flyrank-ml-internship-starter

Writes findings in language the evidence can carry — the claim ladder (observed → directional → decision-support, never causal without a design), effect sizes over drama, banned phrasings.

flyrank-bih/flyrank-ml-internship-starter

Structures and writes a public research page — canonical sections (abstract through limitations), storytelling that carries findings, chart hygiene, referencing for credibility, repurposing for…

flyrank-bih/flyrank-ml-internship-starter

Runs an honest EDA and signal audit — distributions first, heavy-tail handling, verdict-style mini-tests (CONFIRMED/OPPOSITE/MIXED/FALSE), sample-size floors.

flyrank-bih/flyrank-ml-internship-starter

Teaches the working method for using an AI coding assistant on analysis tasks — one task per fresh conversation, search before assuming, interview before big plans, validate everything, commit per…

flyrank-bih/flyrank-ml-internship-starter

The FlyRank internship datasets — the 30k-row starter CSV and its gotchas, the ~79M-row warehouse release tables and grains, panel warnings, access, and iteration rules.

flyrank-bih/flyrank-ml-internship-starter

Finds label leakage and designs honest validation — leakage taxonomy, grouped and time-aware splits, base rates, and the attack-your-own-model checklist.

flyrank-bih/flyrank-ml-internship-starter

Writes a data contract — what a row means, which fields are features vs labels vs context vs excluded, over which time windows — and verifies every claim with a query.

flyrank-bih/flyrank-ml-internship-starter

FlyRank-specific background — what the company does, the search problem, and the hand-written flags story that the ML internship work builds on.

flyrank-bih/flyrank-ml-internship-starter