[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"product:kaggle-code":3},{"id":4,"name":5,"slug":6,"slogan":7,"description":8,"organization":9,"images":10,"avatar_url":11,"image_url":12,"website_url":13,"access_links":14,"status":19,"build_by":20,"categories":21,"stats":25,"upload_relationship":29,"create_at":30,"update_at":31,"owner_id":26,"upload_user_id":32,"reviewer_id":33,"video_info":34,"prerelease_cover_url":35,"scheduled_publish_at":34,"user_scheduled":36,"emoji_reacts":37,"tag":34,"pass_review":34,"user_star":36},3355,"Kaggle Code","kaggle-code","将代码编辑、数据集、运行环境和成果分享放在同一平台的的机器学习代码工作区","{\"type\": \"doc\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"Kaggle Code 是 Kaggle 提供的浏览器端数据科学与机器学习代码工作区，主要面向学习者、研究人员、数据分析师和竞赛参与者。它将代码编辑、数据集、运行环境和成果分享放在同一平台，帮助用户减少本地环境配置、数据准备和算力部署的工作。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"用户可以创建 Jupyter Notebook 或脚本，使用 Python、R 等语言编写并运行代码，直接挂载 Kaggle 数据集、竞赛数据和模型资源，还能使用 GPU 或 TPU 完成训练与实验。Notebook 支持版本保存、结果复现、公开发布、多人协作和定时运行，相比普通在线代码编辑器，更适合完整记录和分享数据分析、机器学习项目。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"核心功能\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"云端 Notebook 编程：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"在浏览器中创建 Notebook 或脚本，编写并运行 Python、R 代码，无需单独配置本地开发环境。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"数据与模型接入：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"将 Kaggle 数据集、竞赛数据、模型或其他 Notebook 输出添加到当前项目，直接开展数据处理和实验。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"GPU 与 TPU 运行：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"在 Notebook 设置中选择 CPU、GPU 或 TPU 计算资源，满足模型训练、推理和大规模数据处理需求。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"版本保存与复现：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"保存 Notebook 的不同版本，并通过从头运行全部代码检查结果，方便复现实验过程和分享完整项目。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"公开分享与协作：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"浏览和搜索社区公开 Notebook，复制他人的代码进行学习，也可以邀请成员共同编辑项目。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"定时运行任务：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"为 Notebook 设置按日、周或月运行，或在数据集更新后自动重新执行，适合持续更新分析结果。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"适合谁\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"bulletList\", \"content\": [{\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"正在学习 Python、数据分析和机器学习的学生。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"参加 Kaggle 竞赛、需要快速验证模型方案的用户。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"需要云端算力进行实验和训练的数据科学家。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"希望公开展示项目过程、分享代码或协作研究的团队。\", \"type\": \"text\"}]}]}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"使用方式\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"orderedList\", \"attrs\": {\"type\": null, \"start\": 1}, \"content\": [{\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"登录 Kaggle 并进入 Code 页面，创建新的 Notebook 或脚本。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"选择 Python 或 R，添加所需的数据集、模型或竞赛数据。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"编写并运行代码，根据任务需要启用 CPU、GPU 或 TPU。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", 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