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ranxi2001/kaggle-auto-research

SkillsMP has collected 9 skills from ranxi2001/kaggle-auto-research. Open a skill to review its source and details.

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Skills in this repository

1 occupation categories · 100% classified

Showing 9 of 9 collected skills.

occupation
Data Scientists
description

在线 Kaggle Notebook 开发工作流。本地编写代码 → push 到 Kaggle 运行 → 拉取结果。 避免大数据集下载,利用 Kaggle 免费 GPU/TPU。 触发关键词:notebook、在线跑、push kernel、远程训练、kaggle run、GPU训练。

Source text: Chinese

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occupation
Data Scientists
description

Research and analyze a Kaggle competition. Scrapes competition page, reads rules/data description, analyzes top solutions and discussion threads, produces a structured research report. Seeds the IdeaPool with actionable improvement ideas. Trigger: "调研",…

Source text: Mixed languages

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occupation
Data Scientists
description

Automated EDA and feature engineering. Generates profiling reports, suggests and creates features based on data patterns and competition type. Includes leakage prevention guardrails and feature quality validation. Trigger: "EDA", "explore data", "数据探索",…

Source text: Chinese

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occupation
Data Scientists
description

Analyze current performance and drive iterative improvement using tree-search. Uses IdeaPool, ErrorAnalysis, and CodeGen to systematically explore the solution space. NEVER submits during iteration — only generates candidates for review. Trigger: "iterate",…

Source text: Mixed languages

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occupation
Data Scientists
description

Train models for the current competition. Handles model selection, cross-validation, hyperparameter tuning via Optuna, and ensemble building. Includes hard-won lessons on leakage prevention, test alignment, and CV reliability. Trigger: "train", "训练模型", "tune…

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occupation
Data Scientists
description

Meta-skill: automatically upgrade other skills based on new learnings from competition runs. Tracks what worked/failed, updates Lesson Logs, adds new Hard Rules, refines strategies. Trigger: "升级技能", "update skills", "evolve", "what did we learn", "反思",…

Source text: Chinese

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occupation
Data Scientists
description

Smart submission management with strict daily budget. Never waste submission opportunities. Queue candidates, submit only the best, track CV-LB gap, analyze score trends. Trigger: "submit", "提交", "check leaderboard", "排名", "track score", "submission history",…

Source text: Mixed languages

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occupation
Data Scientists
description

AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard…

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occupation
Data Scientists
description

Unified Kaggle skill. Use when the user mentions kaggle, kaggle.com, Kaggle competitions, datasets, models, notebooks, GPUs, TPUs, hackathons, writeups, badges, or anything Kaggle-related. Handles account setup, competition reports, dataset/model downloads,…

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Showing 9 of 9 collected skills.