知乎知学堂《AI大模型应用开发实战营 (12期)》

📁 13-视觉大模型与多模态理解
📁     📁 CASE-VLM在车险中的应用
📁         📁 .ipynb_checkpoints
            1-Qwen-VL-保险识别-cn-checkpoint.ipynb  [14.7 KB]
            2-Qwen-VL-chat1-checkpoint.ipynb  [893.2 KB]
        9-extraction-of-auto-accident-elements.jpg  [74.2 KB]
        7-vehicle-damage-evaluation.jpg  [68.6 KB]
        4-Dangerous-driving-behavior-detection.jpg  [43.3 KB]
        6-Dangerous-driving-behavior-detection-5.jpg  [23.6 KB]
        3-vehicle-underwriting-1.jpg  [38.9 KB]
        8-vehicle-damage-evaluation.jpg  [42.2 KB]
        prompt_template_cn.xlsx  [9.9 KB]
        12-vehicle-identity-verification-2.jpg  [81.0 KB]
        prompt_template_cn_result-20250430.xlsx  [17.7 KB]
        prompt_template_cn_result.xlsx  [13.5 KB]
        prompt_template_en.xlsx  [9.7 KB]
        1-vehicle-odometer-reading.jpg  [22.4 KB]
        6-Dangerous-driving-behavior-detection-4.jpg  [21.2 KB]
        11-vehicle-identity-verification-2.jpg  [51.0 KB]
        5-Dangerous-driving-behavior-detection.jpg  [29.7 KB]
        1-Qwen-VL-保险识别-cn.ipynb  [23.8 KB]
        6-Dangerous-driving-behavior-detection-3.jpg  [19.4 KB]
        3-vehicle-underwriting-3.jpg  [46.1 KB]
        11-vehicle-identity-verification-1.jpg  [47.8 KB]
        2-vehicle-odometer-reading.jpg  [86.1 KB]
        prompt_template_en_result.xlsx  [9.8 KB]
        10-extraction-of-auto-accident-elements.jpg  [120.5 KB]
        3-vehicle-underwriting-5.jpg  [32.8 KB]
        6-Dangerous-driving-behavior-detection-1.jpg  [19.8 KB]
        3-vehicle-underwriting-4.jpg  [41.7 KB]
        3-vehicle-underwriting-2.jpg  [45.0 KB]
        2-Qwen-VL-chat1.ipynb  [893.2 KB]
        6-Dangerous-driving-behavior-detection-2.jpg  [20.1 KB]
        12-vehicle-identity-verification-1.jpg  [61.0 KB]
📁     📁 CASE-MinerU使用
        三国演义.pdf  [3.8 MB]
        Qwen3-tech_report.pdf  [6.1 MB]
        1-MinerU.ipynb  [3.1 KB]
        download_models_hf.py  [2.4 KB]
📁     📁 CASE-汽车剐蹭视频理解
        video-understand.py  [9.7 KB]
        requirements.txt  [106.0 B]
        car.mp4  [5.8 MB]
        video-understand.ipynb  [18.6 KB]
📁     📁 CASE-VLM在寿险中的应用
📁         📁 .ipynb_checkpoints
            2-Qwen-VL-本地图片-checkpoint.ipynb  [4.1 KB]
        prompt_template_cn.xlsx  [9.1 KB]
        1-Qwen-VL-保险识别-cn.ipynb  [11.0 KB]
        1-Chinese-document-extraction.jpg  [81.0 KB]
        5-Korean-document-extraction.jpg  [117.1 KB]
        3-French-document-extraction.jpg  [202.7 KB]
        2-Qwen-VL-本地图片【海量资源：kebaiwan.net】.ipynb  [4.1 KB]
        4-German-document-extraction.jpg  [142.7 KB]
        2-Japanese-document-extraction.jpg  [173.1 KB]
        prompt_template_cn_result.xlsx  [7.9 KB]
    yolo-cases.zip  [80.7 MB]
    笔记20250515.txt  [2.8 KB]
    视觉大模型与多模态理解.pdf  [6.7 MB]
📁 6-RAG技术与应用
📁     📁 CASE-embedding使用
        gte-qwen2-使用2.py  [4.7 KB]
        bge-m3使用.py  [1.2 KB]
        gte-qwen2-使用1.py  [1.5 KB]
📁     📁 CASE-ChatPDF-Faiss
📁         📁 .ipynb_checkpoints
            chatpdf-faiss-checkpoint.ipynb  [18.1 KB]
📁         📁 faiss-1
            index.faiss  [30.0 KB]
            index.pkl  [12.3 KB]
        ReadMe.md  [3.8 KB]
        chatpdf-faiss.ipynb  [18.9 KB]
        浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf  [323.3 KB]
        chatpdf-faiss.py  [6.7 KB]
    笔记20250417.txt  [7.4 KB]
    1-RAG技术与应用.pdf  [2.1 MB]
    2-NotebookLM使用.pdf  [1.7 MB]
📁 AI大模型全栈工程师先导课（赠）
    4-VSCode安装与应用.mp4  [19.4 MB]
    9-如何使用注解.mp4  [29.1 MB]
    3-macOS环境安装.mp4  [6.8 MB]
    6-pip包管理工具.mp4  [28.7 MB]
    1-初始Python.mp4  [9.6 MB]
    7-Python工程应用-字符串.mp4  [32.3 MB]
    12-JSON应用.mp4  [40.1 MB]
    5-PyCharn安装与应用.mp4  [22.9 MB]
    19.dotenv使用.mp4  [31.3 MB]
    8-Python文档化应用场景.mp4  [19.0 MB]
    15-爬虫（2）.mp4  [76.7 MB]
    17-爬虫（4）.mp4  [66.9 MB]
    13-文件IO.mp4  [25.3 MB]
    10-字符编码的处理.mp4  [64.7 MB]
    14-爬虫（1）.mp4  [33.2 MB]
    11-Python程序调式和异常处理技巧.mp4  [95.6 MB]
    20.FastAPI的使用.mp4  [59.6 MB]
    18-字符串处理.mp4  [50.7 MB]
    16-爬虫（3）.mp4  [63.9 MB]
    2-Windows环境安装.mp4  [6.6 MB]
📁 AI大模型全栈会员专享系列讲座（赠）
📁     📁 7.部署和交付
        1. 【David】智能算力那点事儿.mp4  [1.1 GB]
📁     📁 6.多模态
        1. 【吴桂林】数字分身应用及技术介绍.mp4  [1.3 GB]
📁     📁 1.AI编程
        1. 【何少甫】网易 CodeWave 智能开发平台的 AI 实践.mp4  [1.0 GB]
📁     📁 3.LangChain
        1. 【薛宏伟】LangChain 核心源码解读.mp4  [2.2 GB]
📁     📁 5.Fine-tuning
        4. 【神秘嘉宾】大模型时代的AI产品新挑战.mp4  [1.2 GB]
        7. 【罗璇】从RWKV看端侧大模型的发展.mp4  [1.2 GB]
        6. 【麒汀】阿里云百炼之一站式模型微调训练实践.mp4  [1.4 GB]
        3. 【甘如饴】多模态大模型和代码大模型是怎样炼成的.mp4  [1.7 GB]
        5. 【可乐】百度智能云千帆行业实战&金融大模型应用探索与开发实践.mp4  [1.2 GB]
        1. 【张轩玮】我是如何训练百亿参数大模型 ChatYuan 的.mp4  [1.1 GB]
        2. 【施兴】如何用 Stable Diffusion 复现一个妙鸭.mp4  [1.9 GB]
📁     📁 8.产品设计和运营
        4. 【Frank Nee】中国产品如何出海.mp4  [2.2 GB]
        2. 【王乐】复盘 FoloToy AI 玩具的独立开发历程.mp4  [1.1 GB]
        1. 【周玮】AI 落地实战应用——EDGE 过程总结和复盘.mp4  [2.2 GB]
        3. 【汪源】GenAI的创新逻辑与趋势.mp4  [1.9 GB]
📁     📁 4.手撕 AutoGPT
        2. 【林义章】MetaGPT 让每个人拥有专属智能体.mp4  [1.8 GB]
        1. 【丛鑫、卢雅西】XAgent 原理、技术与应用.mp4  [1.7 GB]
📁     📁 2.RAG
        1. 【翼飞】阿里云百炼之RAG在企业场景的应用.mp4  [881.8 MB]
        2. 【刘海峰】ChatU.ai 企业落地经验.mp4  [1.6 GB]
📁 7-RAG高级技术与最佳实践
📁     📁 rerank
        beg-reranker.py  [1.2 KB]
        beg-reranker.ipynb  [8.7 KB]
📁     📁 Case-ChatPDF-Faiss
        浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf  [323.3 KB]
        chatpdf-faiss.ipynb  [18.2 KB]
        MultiQueryRetriever使用.py  [1.3 KB]
        MultiQueryRetriever使用.ipynb  [5.5 KB]
        chatpdf-faiss.py  [6.7 KB]
📁     📁 CASE-Qwen-Agent-RAG
📁         📁 docs
            平安境内紧急医疗救援服务条款.pdf  [159.1 KB]
            7-平安装修保.txt  [485.0 B]
            平安商业综合责任保险（亚马逊）.pdf  [930.8 KB]
            平安附加疾病身故保险条款.pdf  [530.3 KB]
            2-雇主责任险.txt  [4.9 KB]
            平安产险交通出行意外伤害保险（互联网版）产品说明.pdf  [81.3 KB]
            1-平安商业综合责任保险（亚马逊）.txt  [2.5 KB]
            平安企业团体综合意外险(互联网版)适用条款.pdf  [292.8 KB]
            3-平安企业团体综合意外险.txt  [9.5 KB]
            4-雇主安心保.txt  [2.0 KB]
            6-财产一切险.txt  [1.9 KB]
            5-施工保.txt  [4.5 KB]
            平安产险交通工具意外伤害保险（互联网版）条款.pdf  [310.3 KB]
        浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf  [323.3 KB]
        qwen-agent-multi-files.py  [3.8 KB]
        qwen-agent-1.ipynb  [6.3 KB]
        qwen-agent-1.py  [3.3 KB]
        qwen-agent-multi-files.ipynb  [15.7 KB]
📁     📁 graphrag-main
📁         📁 cases
📁             📁 input
                three_kingdoms.txt  [1.4 MB]
                three_kingdoms-4037c531101e.txt  [1.7 MB]
            settings.yaml  [5.1 KB]
            .env  [31.0 B]
    1-RAG高级技术与实践.pdf  [5.3 MB]
    笔记20250422.txt  [6.4 KB]
📁 常用工具下载
    OllamaSetup.exe  [1001.0 MB]
📁 15-Coze工作原理与应用实例
📁     📁 CASE：创建产品知识库
        大模型定价.xlsx  [8.7 KB]
        浦发上海浦东发展银行西安分行个金客户经理考核办法.pdf  [368.6 KB]
        远程办公场景最佳实践.docx  [469.6 KB]
        空调定价.xlsx  [8.6 KB]
    笔记20250522.txt  [5.9 KB]
    1-Coze工作原理与应用实例.pdf  [5.8 MB]
📁 AI大模型追新课
    2、解析 Manus：多智能体技术的架构与未来.mp4  [242.0 MB]
    1、DeepSeek解析：技术演进、模型指南与产业应用.mp4  [200.4 MB]
📁 ai大模型正课
    14、视觉大模型与视觉智能体.mp4  [271.4 MB]
    6、RAG（Retrieval Augmented Generation）技术与应用.mp4  [371.5 MB]
    16、Coze工作原理与应用实例.mp4  [253.7 MB]
    15、Fine-tuning技术与大模型优化.mp4  [291.9 MB]
    10、Function Calling与跨模型协作.mp4  [377.9 MB]
    13、视觉大模型与视觉智能体.mp4  [387.7 MB]
    3、Cursor编程-从入门到精通.mp4  [344.7 MB]
    0、开班典礼.mp4  [318.1 MB]
    8、Text2SQL：自助式数据报表开发.mp4  [398.1 MB]
    9、LangChain：多任务应用开发.mp4  [400.1 MB]
    7、RAG高级技术与最佳实践.mp4  [407.6 MB]
    5、Embeddings和向量数据库.mp4  [322.1 MB]
    2、Prompt工程：设计与优化.mp4  [345.9 MB]
    11、Agent智能体系统的设计与应用.mp4  [361.9 MB]
    12、MCP应用与实战.mp4  [337.0 MB]
    4、Cursor 可视化大屏搭建.mp4  [294.7 MB]
    17、Coze插件开发实战.mp4  [280.7 MB]
    1、AI大模型基本原理与deepseek使用.mp4  [400.1 MB]
📁 11-MCP与A2A应用
📁     📁 CASE-A2A使用
        requirements.txt  [72.0 B]
        WeatherAgent.py  [1.8 KB]
        BasketBallAgent.py  [2.0 KB]
📁     📁 CASE-MCP Demo-2
        requirements.txt  [39.0 B]
        assistant_bot.py  [6.2 KB]
📁     📁 CASE-MCP Demo-1
        requirements.txt  [51.0 B]
        .cursorindexingignore  [109.0 B]
        txt_counter.py  [2.0 KB]
        assistant_mcp_txt_bot.py  [6.2 KB]
        assistant_mcp_amap_bot.py  [6.3 KB]
        旅行规划.md  [4.6 KB]
        .gitignore  [6.0 B]
    1-MCP与A2A的应用.pdf  [5.7 MB]
    笔记20250508.txt  [3.8 KB]
📁 3-Cursor编程：从入门到精通
📁     📁 【完成参考】Excel_merge
        Excel_merge.py  [1.2 KB]
        员工基本信息表.xlsx  [9.5 KB]
        员工信息与绩效合并表.xlsx  [6.3 KB]
        .gitignore  [6.0 B]
        员工绩效表.xlsx  [6.7 KB]
📁     📁 CASE-Excel_merge
        员工绩效表.xlsx  [6.7 KB]
        员工基本信息表.xlsx  [9.5 KB]
📁     📁 CASE-dashboard_epidemic
        香港各区疫情数据_20250322.xlsx  [183.6 KB]
📁     📁 CASE-bed_usage
        hospital_bed_usage_data.xlsx  [3.1 MB]
📁     📁 【完成参考】bed_usage
📁         📁 charts
            TOP10最高使用率科室.png  [151.2 KB]
            TOP10最低使用率科室.png  [128.9 KB]
            医院科室使用率热力图.png  [432.3 KB]
            病床数量与使用率关系.png  [343.2 KB]
            各医院病床使用率.png  [251.8 KB]
📁         📁 data_cache
            data_cache.pkl  [2.2 KB]
            metadata.json  [187.0 B]
📁         📁 .qodo
            history.sqlite  [20.0 KB]
📁         📁 templates
            index.html  [37.4 KB]
        .gitignore  [6.0 B]
        app.py  [20.7 KB]
        precompute_data.py  [8.1 KB]
        view_excel_data.py  [7.2 KB]
        hospital_bed_usage_data.xlsx  [3.1 MB]
        README.md  [1.4 KB]
📁     📁 【完成参考】dashboard_epidemic
📁         📁 static
📁             📁 js
                hongkong.json  [3.3 MB]
                dashboard.js  [27.5 KB]
📁             📁 css
                dashboard.css  [5.8 KB]
📁         📁 templates
            index.html  [3.9 KB]
        read_excel.py  [8.0 KB]
        每日确诊数据统计图.png  [349.9 KB]
        活跃病例数据统计图.png  [202.2 KB]
        香港各区疫情数据_20250322.xlsx  [183.6 KB]
        各地区确诊病例对比图.png  [264.2 KB]
        疫情数据统计图 - 副本.png  [179.1 KB]
        app.py  [7.5 KB]
        疫情数据统计图.png  [179.1 KB]
        README.md  [1.7 KB]
        .gitignore  [6.0 B]
        requirements.txt  [57.0 B]
    1-Cursor编程.pdf  [3.9 MB]
    【课前准备】AI编程工具安装.pdf  [131.7 KB]
    笔记20250408.txt  [7.3 KB]
    【补充】CASE-病床使用情况.pdf  [1.8 MB]
📁 16-Coze进阶实战与插件开发
📁     📁 CASE-客户分层营销助手
        营销策略.xlsx  [12.5 KB]
        user_tag.xlsx  [9.2 KB]
        user_behavior_event.xlsx  [10.0 KB]
📁     📁 CASE-市场舆情监测Agent
        代码1.py  [350.0 B]
        securities_past.py  [2.6 KB]
        AppStorePast-代码1.py  [487.0 B]
        AppStorePast.py  [1.1 KB]
        代码.js  [1.2 KB]
📁     📁 CASE-智能客服Agent
        中国平安金裕人生理财产品.doc  [61.0 KB]
        港股交易规则介绍.pdf  [954.2 KB]
        上海证券交易所交易规则.pdf  [378.1 KB]
        user_complain.xlsx  [8.9 KB]
        平安财富日添利理财产品.doc  [30.0 KB]
    Coze进阶实战与插件开发.pdf  [6.4 MB]
    证券舆情Agent.mp4  [4.4 MB]
    ABC公司证券产品介绍.txt  [6.7 KB]
    笔记20250527.txt  [4.4 KB]
📁 8-Text2SQL：自助式数据报表开发
📁     📁 CASE-SQL-vanna
        vanna-mysql.ipynb  [21.9 KB]
        vanna-mysql.py  [3.2 KB]
📁     📁 CASE-SQL Copilot
📁         📁 insurance
📁             📁 data
                BeneficiaryInfo.xlsx  [63.5 KB]
                create_sql.txt  [2.8 KB]
                ClaimInfo.xlsx  [85.5 KB]
                ProductInfo.xlsx  [60.2 KB]
                CustomerInfo.xlsx  [111.5 KB]
                EmployeeInfo.xlsx  [145.6 KB]
                PolicyInfo.xlsx  [77.3 KB]
                数据表字段说明-精简1.txt  [3.1 KB]
                AgentInfo.xlsx  [103.0 KB]
            qa_list-2.txt  [854.0 B]
            SQL查询-Coder.ipynb  [5.6 KB]
            qa_list-1.txt  [1.1 KB]
            SQL查询-Chat.ipynb  [26.1 KB]
            SQL结果评测.ipynb  [13.4 KB]
        codegeex-1.ipynb  [8.4 KB]
        qwen-coder1.ipynb  [6.1 KB]
📁     📁 Case-SQL-LangChain
📁         📁 .ipynb_checkpoints
            sql_life_insurance-checkpoint.ipynb  [3.7 KB]
            sql_agent_deepseek-checkpoint.ipynb  [24.7 KB]
        sql_life_insurance.ipynb  [30.6 KB]
        sql_agent_deepseek.ipynb  [22.4 KB]
📁     📁 SQL数据表源文件
        agentinfo.sql  [235.4 KB]
        claiminfo.sql  [271.4 KB]
        employeeinfo.sql  [303.8 KB]
        policyinfo.sql  [242.6 KB]
        productinfo.sql  [201.1 KB]
        crs_orders.sql  [5.0 KB]
        customerinfo.sql  [266.2 KB]
        beneficiaryinfo.sql  [140.6 KB]
        heros.sql  [14.7 KB]
    2-vanna使用.pdf  [479.2 KB]
    1-Text2SQL：自助式数据报表开发.pdf  [3.1 MB]
    笔记20250424.txt  [9.3 KB]
📁 1-AI大模型原理与API使用
📁     📁 CASE-保险反欺诈
📁         📁 .ipynb_checkpoints
            Untitled-checkpoint.ipynb  [186.8 KB]
            test2-checkpoint.ipynb  [245.9 KB]
            insurance_feature_importance-checkpoint.ipynb  [96.8 KB]
            insurance_automl-checkpoint.ipynb  [44.0 KB]
            test1-checkpoint.ipynb  [70.1 KB]
            insurance_fraud_detect-checkpoint.ipynb  [1.1 MB]
            insurance_fraud_detect2-checkpoint.ipynb  [275.7 KB]
            insurance_automl2-checkpoint.ipynb  [36.8 KB]
            insurance_fraud_detect1-checkpoint.ipynb  [170.6 KB]
        train.csv  [183.5 KB]
        test.csv  [78.2 KB]
    5-情感分析-Deepseek-阿里代理.ipynb  [1.7 KB]
    README.md  [2.1 KB]
    1-AI大模型原理与DeepSeek使用.pdf  [3.0 MB]
    2-天气Function-Qwen.ipynb  [6.8 KB]
    4-运维事件处置-Qwen.ipynb  [6.1 KB]
    2-API使用.pdf  [1.6 MB]
    6-deepseek-r1-7b使用.py  [996.0 B]
    笔记-20250331.txt  [2.7 KB]
    1-情感分析-Qwen.ipynb  [1.7 KB]
    3-表格提取-Qwen.ipynb  [5.1 KB]
    6-deepseek-r1-7b使用.ipynb  [6.6 KB]
📁 10-Function Callling与协作
📁     📁 CASE-ticket-agent
        assistant_ticket_bot-2.py  [9.0 KB]
        assistant_ticket_bot-1.py  [6.7 KB]
        requirements.txt  [129.0 B]
        assistant_ticket_bot-3.py  [9.8 KB]
        assistant_revenue_bot.py  [22.2 KB]
📁     📁 CASE-Function Calling
        qwen3-function使用.py  [2.9 KB]
        requirements.txt  [37.0 B]
        qwen3-function使用-2.py  [5.6 KB]
    Function Calling与协作.pdf  [1.7 MB]
📁 2-Prompt工程：设计与优化
    1-DeepSeek使用.pdf  [3.4 MB]
    3-deepseek-r1-7b使用.ipynb  [6.6 KB]
    笔记20250403.txt  [4.4 KB]
    2-提示词工程.pdf  [1.2 MB]
    1-情感分析-Deepseek-阿里代理.py  [1.0 KB]
    README.md  [1.8 KB]
    2-提示词工程使用.py  [3.7 KB]
    3-deepseek-r1-7b使用.py  [996.0 B]
    1-情感分析-Deepseek-阿里代理.ipynb  [1.7 KB]
    2-提示词工程使用.ipynb  [9.7 KB]
📁 9-LangChain：多任务应用开发
📁     📁 CASE-搭建故障诊断Agent
        requirements.txt  [48.0 B]
        network_diagnosis_agent_logic.md  [5.5 KB]
        2-network_diagnosis_agent.py  [10.6 KB]
📁     📁 Case-LangChain使用
📁         📁 .ipynb_checkpoints
            4-ConversationChain-checkpoint.ipynb  [4.3 KB]
            LLMChain2-checkpoint.ipynb  [58.4 KB]
            3-LLMChain-checkpoint.ipynb  [2.7 KB]
            2-LLMChain-checkpoint.ipynb  [5.3 KB]
            LLMChain1-checkpoint.ipynb  [2.7 KB]
            1-LLMChain-checkpoint.ipynb  [7.3 KB]
            indexes1-checkpoint.ipynb  [7.8 KB]
            LLMChain3-checkpoint.ipynb  [5.3 KB]
            LLMChain2-1-checkpoint.ipynb  [7.3 KB]
            ConversationChain1-checkpoint.ipynb  [3.1 KB]
            LLMChain-ChatPromptTemplate1-checkpoint.ipynb  [2.0 KB]
        5-product_llm.py  [8.5 KB]
        1-LLMChain.ipynb  [2.7 KB]
        3-LLMChain.ipynb  [5.5 KB]
        2-LLMChain.ipynb  [7.3 KB]
        4-ConversationChain.ipynb  [4.3 KB]
📁     📁 CASE-工具链组合
        2-simple_toolchain.py  [7.9 KB]
        3-lcel-demo.py  [1.2 KB]
        1-simple_toolchain.py  [9.2 KB]
        requirements.txt  [113.0 B]
    笔记20250429.txt  [5.2 KB]
    1-LangChain：多任务应用开发.pdf  [3.0 MB]
    2-Generative Agents.pdf  [1.4 MB]
📁 4-Cursor数据可视化与洞察
📁     📁 【完成参考】CASE-客户续保预测
        gender_age_boxplot.png  [15.1 KB]
        decision_tree_model.py  [7.8 KB]
        gender_distribution.png  [22.5 KB]
        bnb_confusion_matrix.png  [22.3 KB]
        gnb_confusion_matrix.png  [21.8 KB]
        nb_models_comparison_roc.png  [55.4 KB]
        view_excel.py  [227.0 B]
        bnb_roc_curve.png  [34.5 KB]
        random_forest_model.py  [6.5 KB]
        gnb_roc_curve.png  [33.2 KB]
        best_lr_feature_importance.png  [32.4 KB]
        lr_feature_importance.png  [31.1 KB]
        logistic_regression_model.py  [8.8 KB]
        best_roc_curve.png  [35.9 KB]
        policy_data.xlsx  [93.9 KB]
        .gitignore  [6.0 B]
        best_dt_roc_curve.png  [39.1 KB]
        best_decision_tree_text.txt  [2.8 KB]
        age_distribution.png  [16.3 KB]
        feature_importance.png  [31.5 KB]
        mnb_roc_curve.png  [33.7 KB]
        README.md  [3.0 KB]
        dt_feature_importance.png  [31.3 KB]
        lr_confusion_matrix.png  [18.8 KB]
        lr_coefficients.png  [45.2 KB]
        confusion_matrix.png  [16.5 KB]
        dt_confusion_matrix.png  [17.8 KB]
        best_lr_roc_curve.png  [36.4 KB]
        roc_curve.png  [33.5 KB]
        policy_test.xlsx  [25.1 KB]
        decision_tree_text.txt  [4.6 KB]
        lr_roc_curve.png  [32.8 KB]
        naive_bayes_model.py  [10.3 KB]
        decision_tree_viz.png  [666.9 KB]
        region_correlation.png  [44.7 KB]
        analyze_data.py  [3.1 KB]
        mnb_confusion_matrix.png  [19.9 KB]
        best_lr_coefficients.png  [46.7 KB]
        dt_roc_curve.png  [38.0 KB]
        best_decision_tree_viz.png  [657.0 KB]
        view_data.py  [273.0 B]
📁     📁 CASE-客户续保预测
        policy_data.xlsx  [93.9 KB]
        policy_test.xlsx  [25.1 KB]
    笔记20250410.txt  [6.3 KB]
    1-Cursor数据可视化与洞察.pdf  [1.0 MB]
    2-CASE-客户续保预测.pdf  [3.0 MB]
📁 5-Embeddings和向量数据库
📁     📁 hotel_recommendation
📁         📁 .qodo
            history.sqlite  [20.0 KB]
📁         📁 .ipynb_checkpoints
            hotel_rec-checkpoint.ipynb  [140.0 KB]
        Seattle_Hotels.csv  [155.6 KB]
        hotel_rec - nltk.py  [4.0 KB]
        hotel_rec.py  [5.5 KB]
        .gitignore  [6.0 B]
        hotel_rec.ipynb  [142.6 KB]
📁     📁 word2vec
📁         📁 utils
📁             📁 __pycache__
                __init__.cpython-37.pyc  [313.0 B]
                __init__.cpython-36.pyc  [313.0 B]
                files_processing.cpython-311.pyc  [13.6 KB]
                files_processing.cpython-35.pyc  [8.2 KB]
                segment.cpython-36.pyc  [6.8 KB]
                segment.cpython-311.pyc  [11.2 KB]
                files_processing.cpython-37.pyc  [7.5 KB]
                __init__.cpython-311.pyc  [369.0 B]
                segment.cpython-35.pyc  [6.5 KB]
                __init__.cpython-35.pyc  [329.0 B]
                segment.cpython-37.pyc  [6.8 KB]
                files_processing.cpython-36.pyc  [7.5 KB]
            segment.py  [8.6 KB]
            create_word2vec.py  [9.5 KB]
            __init__.py  [193.0 B]
            create_batch_data.py  [5.4 KB]
            files_processing.py  [8.2 KB]
📁         📁 journey_to_the_west
📁             📁 segment
                segment_0.txt  [2.3 MB]
📁             📁 source
                journey_to_the_west.txt  [1.2 MB]
📁         📁 three_kingdoms
📁             📁 source
                three_kingdoms.txt  [1.7 MB]
📁         📁 models
            word2Vec.model  [7.8 MB]
        word_similarity.py  [1.1 KB]
        word_seg.py  [1.1 KB]
    1-Embedding与向量数据库.pdf  [1.2 MB]
    笔记20250414.txt  [4.2 KB]
📁 12-Agent智能体系统的设计与应用
📁     📁 CASE-私募基金运作指引问答助手（反应式）
        fund_qa_langgraph.py  [13.8 KB]
        fund_qa_qwen_agent.py  [7.2 KB]
📁     📁 CASE-智能投研助手（深思熟虑）
        deliberative_research_langgraph.py  [18.4 KB]
        deliberative_research_qwen_agent-2.py  [19.5 KB]
        deliberative_research_agent_comparison.md  [5.4 KB]
        requirements.txt  [129.0 B]
        deliberative_research_agent_documentation.md  [8.8 KB]
📁     📁 CASE-投顾AI助手（混合式）
        hybrid_wealth_advisor_langgraph.py  [22.9 KB]
        requirements.txt  [162.0 B]
        hybrid_wealth_advisor_qwen_agent.py  [16.8 KB]
    1-Agent智能体系统的设计与应用.pdf  [2.8 MB]
    笔记20250513.txt  [8.1 KB]