大模型全栈工程师第14期

课程目录

├──0-AI大模型第14期正课【视频课文件夹】
| ├──11、Agent智能体系统的设计与应用.mp4 361.94M
| ├──12、MCP应用与实战.mp4 337.00M
| ├──13、视觉大模型与视觉智能体.mp4 387.74M
| ├──14、Fine-tuning技术与大模型优化.mp4 422.64M
| ├──15、Coze工作原理与应用实例.mp4 355.48M
| ├──16、Coze插件开发实战.mp4 400.16M
| ├──17、Dify本地化部署和应用.mp4 347.05M
| ├──18、分析式AI基础.mp4 413.35M
| ├──20、机器学习神器.mp4 353.04M
| ├──21、时间序列模型.mp4 358.62M
| ├──22、时间序列AI大赛.mp4 384.27M
| ├──23、项目实战：交互式BI报表.mp4 444.49M
| ├──24、项目实战：企业知识库.mp4 428.06M
| ├──25、项目实战：AI运营助手.mp4 455.50M
| ├──26、项目实战：AI搜索类应用.mp4 545.67M
| ├──5、Embeddings和向量数据库.mp4 322.15M
| ├──6、RAG（Retrieval Augmented Generation）技术与应用.mp4 371.50M
| ├──7、RAG高级技术与最佳实践.mp4 407.65M
| ├──8、Text2SQL：自助式数据报表开发.mp4 398.10M
| ├──9、LangChain：多任务应用开发.mp4 400.06M
| ├──0、开班典礼.mp4 318.15M
| ├──10、Function Calling与跨模型协作.mp4 377.94M
| ├──19、不同领域的AI算法.mp4 354.20M
| ├──1、AI大模型基本原理与deepseek使用.mp4 400.13M
| ├──2、Prompt工程：设计与优化.mp4 345.95M
| ├──3、Cursor编程-从入门到精通.mp4 344.70M
| └──4、Cursor 可视化大屏搭建.mp4 294.73M
├──1-AI大模型原理与API使用
| ├──CASE-保险反欺诈
| | ├──.ipynb_checkpoints
| | ├──test.csv 78.23kb
| | └──train.csv 183.49kb
| ├──3-表格提取-Qwen.ipynb 5.06kb
| ├──4-运维事件处置-Qwen.ipynb 6.14kb
| ├──5-情感分析-Deepseek-阿里代理.ipynb 1.70kb
| ├──6-deepseek-r1-7b使用.ipynb 6.62kb
| ├──6-deepseek-r1-7b使用.py 0.97kb
| ├──README.md 2.11kb
| ├──1-AI大模型原理与DeepSeek使用.pdf 3.01M
| ├──1-情感分析-Qwen.ipynb 1.71kb
| ├──2-API使用.pdf 1.59M
| ├──2-天气Function-Qwen.ipynb 6.84kb
| └──笔记-20250331.txt 2.66kb
├──10-Function Callling与协作
| ├──CASE-Function Calling
| | ├──qwen3-function使用-2.py 5.60kb
| | ├──qwen3-function使用.py 2.86kb
| | └──requirements.txt 0.04kb
| ├──CASE-ticket-agent
| | ├──assistant_revenue_bot.py 22.15kb
| | ├──assistant_ticket_bot-1.py 6.74kb
| | ├──assistant_ticket_bot-2.py 8.95kb
| | ├──assistant_ticket_bot-3.py 9.80kb
| | └──requirements.txt 0.13kb
| └──Function Calling与协作.pdf 1.74M
├──10-Function Callling与协作(1)
| ├──CASE-Function Calling
| | ├──assistant_weather_bot-1.py 6.38kb
| | ├──qwen3-function使用-2.py 5.60kb
| | ├──qwen3-function使用.py 2.86kb
| | └──requirements.txt 0.04kb
| ├──CASE-ticket-agent
| | ├──assistant_revenue_bot.py 22.15kb
| | ├──assistant_ticket_bot-1.py 6.74kb
| | ├──assistant_ticket_bot-2.py 8.95kb
| | ├──assistant_ticket_bot-3.py 9.80kb
| | └──requirements.txt 0.13kb
| ├──Function Calling与协作.pdf 2.08M
| └──笔记20250506.txt 8.79kb
├──11-MCP与A2A应用
| ├──CASE-A2A使用
| | ├──BasketBallAgent.py 2.01kb
| | ├──requirements.txt 0.07kb
| | └──WeatherAgent.py 1.79kb
| ├──CASE-MCP Demo-1
| | ├──.cursorindexingignore 0.11kb
| | ├──.gitignore 0.01kb
| | ├──assistant_mcp_amap_bot.py 6.30kb
| | ├──assistant_mcp_txt_bot.py 6.21kb
| | ├──requirements.txt 0.05kb
| | ├──txt_counter.py 2.02kb
| | └──旅行规划.md 4.60kb
| ├──CASE-MCP Demo-2
| | ├──assistant_bot.py 6.21kb
| | └──requirements.txt 0.04kb
| ├──1-MCP与A2A的应用.pdf 5.69M
| └──笔记20250508.txt 3.82kb
├──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 13.80kb
| | └──fund_qa_qwen_agent.py 7.17kb
| ├──CASE-投顾AI助手（混合式）
| | ├──hybrid_wealth_advisor_langgraph.py 22.90kb
| | ├──hybrid_wealth_advisor_qwen_agent.py 16.79kb
| | └──requirements.txt 0.16kb
| ├──CASE-智能投研助手（深思熟虑）
| | ├──deliberative_research_agent_comparison.md 5.38kb
| | ├──deliberative_research_agent_documentation.md 8.82kb
| | ├──deliberative_research_langgraph.py 18.42kb
| | ├──deliberative_research_qwen_agent-2.py 19.50kb
| | └──requirements.txt 0.13kb
| ├──1-Agent智能体系统的设计与应用.pdf 2.79M
| └──笔记20250513.txt 8.11kb
├──13-视觉大模型与多模态理解
| ├──CASE-MinerU使用
| | ├──1-MinerU.ipynb 3.06kb
| | ├──download_models_hf.py 2.40kb
| | ├──Qwen3-tech_report.pdf 6.09M
| | └──三国演义.pdf 3.75M
| ├──CASE-VLM在车险中的应用
| | ├──.ipynb_checkpoints
| | ├──4-Dangerous-driving-behavior-detection.jpg 43.33kb
| | ├──5-Dangerous-driving-behavior-detection.jpg 29.72kb
| | ├──6-Dangerous-driving-behavior-detection-1.jpg 19.83kb
| | ├──6-Dangerous-driving-behavior-detection-2.jpg 20.10kb
| | ├──6-Dangerous-driving-behavior-detection-3.jpg 19.42kb
| | ├──6-Dangerous-driving-behavior-detection-4.jpg 21.20kb
| | ├──6-Dangerous-driving-behavior-detection-5.jpg 23.60kb
| | ├──prompt_template_cn.xlsx 9.87kb
| | ├──prompt_template_cn_result-20250430.xlsx 17.67kb
| | ├──prompt_template_cn_result.xlsx 13.54kb
| | ├──prompt_template_en.xlsx 9.73kb
| | ├──prompt_template_en_result.xlsx 9.79kb
| | ├──1-Qwen-VL-保险识别-cn.ipynb 23.78kb
| | ├──1-vehicle-odometer-reading.jpg 22.40kb
| | ├──10-extraction-of-auto-accident-elements.jpg 120.51kb
| | ├──11-vehicle-identity-verification-1.jpg 47.79kb
| | ├──11-vehicle-identity-verification-2.jpg 51.02kb
| | ├──12-vehicle-identity-verification-1.jpg 60.98kb
| | ├──12-vehicle-identity-verification-2.jpg 81.03kb
| | ├──2-Qwen-VL-chat1.ipynb 893.20kb
| | ├──2-vehicle-odometer-reading.jpg 86.14kb
| | ├──3-vehicle-underwriting-1.jpg 38.94kb
| | ├──3-vehicle-underwriting-2.jpg 44.99kb
| | ├──3-vehicle-underwriting-3.jpg 46.13kb
| | ├──3-vehicle-underwriting-4.jpg 41.67kb
| | ├──3-vehicle-underwriting-5.jpg 32.84kb
| | ├──7-vehicle-damage-evaluation.jpg 68.60kb
| | ├──8-vehicle-damage-evaluation.jpg 42.22kb
| | └──9-extraction-of-auto-accident-elements.jpg 74.18kb
| ├──CASE-VLM在寿险中的应用
| | ├──.ipynb_checkpoints
| | ├──1-Chinese-document-extraction.jpg 80.99kb
| | ├──1-Qwen-VL-保险识别-cn.ipynb 11.01kb
| | ├──2-Japanese-document-extraction.jpg 173.05kb
| | ├──3-French-document-extraction.jpg 202.74kb
| | ├──4-German-document-extraction.jpg 142.75kb
| | ├──5-Korean-document-extraction.jpg 117.13kb
| | ├──prompt_template_cn.xlsx 9.10kb
| | ├──prompt_template_cn_result.xlsx 7.88kb
| | └──2-Qwen-VL-本地图片.ipynb 4.08kb
| ├──CASE-汽车剐蹭视频理解
| | ├──car.mp4 5.77M
| | ├──requirements.txt 0.10kb
| | ├──video-understand.ipynb 18.61kb
| | └──video-understand.py 9.71kb
| ├──yolo-cases.zip 80.75M
| ├──笔记20250515.txt 2.80kb
| └──视觉大模型与多模态理解.pdf 6.66M
├──14-Fine-tuning技术与大模型优化
| ├──【数据集】AdvertiseGen
| | ├──dev.json 486.71kb
| | ├──dev2.json 4.15kb
| | ├──train.json 51.27M
| | └──train2.json 92.67kb
| ├──【数据集】alpaca-cleaned
| | ├──alpaca_data_cleaned.json 42.25M
| | ├──gitattributes 2.27kb
| | └──README.md 11.34kb
| ├──【数据集】gsm8k
| | ├──main
| | ├──socratic
| | ├──gitattributes 1.57kb
| | ├──gsm8k.zip 4.89M
| | └──README.md 7.75kb
| ├──【数据集】中文医疗数据
| | ├──Andriatria_男科
| | ├──IM_内科
| | ├──OAGD_妇产科
| | ├──Oncology_肿瘤科
| | ├──Pediatric_儿科
| | └──Surgical_外科
| ├──1-Fine-tuning技术与大模型优化.pdf 2.63M
| ├──2-金融垂类大模型（智能客服）.pdf 455.23kb
| ├──Qwen2_5_(7B)_Alpaca-2.ipynb 169.72kb
| ├──Qwen2_5_(7B)_R1.ipynb 528.96kb
| ├──Qwen2_5_(7B)_模型调用.ipynb 53.01kb
| ├──Qwen2_5_(7B)_医疗微调.ipynb 685.16kb
| ├──requirements.txt 0.23kb
| └──笔记20250520.txt 7.86kb
├──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 8.75kb
| | ├──空调定价.xlsx 8.64kb
| | ├──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 368.62kb
| | └──远程办公场景最佳实践.docx 469.57kb
| ├──1-Coze工作原理与应用实例.pdf 5.83M
| └──笔记20250522.txt 5.93kb
├──16-Coze进阶实战与插件开发
| ├──CASE-客户分层营销助手
| | ├──user_behavior_event.xlsx 9.96kb
| | ├──user_tag.xlsx 9.19kb
| | └──营销策略.xlsx 12.51kb
| ├──CASE-市场舆情监测Agent
| | ├──AppStorePast-代码1.py 0.48kb
| | ├──AppStorePast.py 1.05kb
| | ├──securities_past.py 2.58kb
| | ├──代码.js 1.22kb
| | └──代码1.py 0.34kb
| ├──CASE-智能客服Agent
| | ├──user_complain.xlsx 8.89kb
| | ├──港股交易规则介绍.pdf 954.16kb
| | ├──平安财富日添利理财产品.doc 30.00kb
| | ├──上海证券交易所交易规则.pdf 378.09kb
| | └──中国平安金裕人生理财产品.doc 61.00kb
| ├──ABC公司证券产品介绍.txt 6.66kb
| ├──Coze进阶实战与插件开发.pdf 6.40M
| ├──笔记20250527.txt 4.40kb
| └──证券舆情Agent.mp4 4.44M
├──17-Dify本地化部署和应用
| ├──CASE-Coze API使用
| | ├──__pycache__
| | ├──config.py 0.40kb
| | ├──coze_client.py 9.10kb
| | └──requirements.txt 0.04kb
| ├──CASE-Dify API使用
| | ├──__pycache__
| | ├──dify_agent_client.py 19.92kb
| | ├──dify_workflow_example.py 0.93kb
| | └──requirements.txt 0.04kb
| ├──CASE-智能文档分析助手
| | └──INTERNVIDEO2.5.pdf 1.84M
| └──1-Dify部署与应用.pdf 4.18M
├──17-Dify本地化部署和应用(1)
| ├──CASE-Coze API使用
| | ├──__pycache__
| | ├──config.py 0.40kb
| | ├──coze_client.py 9.10kb
| | └──requirements.txt 0.04kb
| ├──CASE-Dify API使用
| | ├──__pycache__
| | ├──chatpdf-faiss.py 7.95kb
| | ├──dify_agent_client.py 19.92kb
| | ├──dify_workflow_example.py 0.93kb
| | └──requirements.txt 0.04kb
| ├──CASE-智能客服ChatFlow
| | ├──user_behavior_event.xlsx 9.96kb
| | ├──user_tag.xlsx 9.19kb
| | ├──港股交易规则介绍.pdf 954.16kb
| | ├──平安财富日添利理财产品.doc 30.00kb
| | ├──上海证券交易所交易规则.pdf 378.09kb
| | └──中国平安金裕人生理财产品.doc 61.00kb
| ├──CASE-智能文档分析助手
| | └──INTERNVIDEO2.5.pdf 1.84M
| ├──1-Dify部署与应用.pdf 4.18M
| ├──DeepSeek-R1-0528.pdf 534.43kb
| ├──LLM联网搜索0529.yml 19.73kb
| ├──笔记20250529.txt 1.80kb
| ├──古诗词绘画助手.yml 14.55kb
| ├──智能客服ChatFlow.yml 12.59kb
| └──智能文档助手0529.yml 17.52kb
├──18-分析式AI基础
| ├──Case-二手车价格预测
| | ├──used_car_sample_submit.csv 439.47kb
| | ├──used_car_testB_20200421.csv 17.06M
| | └──used_car_train_20200313.csv 51.77M
| ├──【完成参考】Case-二手车价格预测
| | ├──catboost_info
| | ├──processed_data
| | ├──.gitignore 0.01kb
| | ├──brand_distribution.png 19.15kb
| | ├──catboost_feature_importance.csv 0.98kb
| | ├──catboost_feature_importance.png 28.69kb
| | ├──catboost_prediction_vs_actual.png 79.54kb
| | ├──catboost_submit_result.csv 1.26M
| | ├──correlation_heatmap.png 454.95kb
| | ├──data_preprocessing.py 8.03kb
| | ├──ensemble_analysis.png 74.16kb
| | ├──feature_engineering_and_catboost.py 14.02kb
| | ├──feature_importance.csv 0.85kb
| | ├──feature_importance.png 28.14kb
| | ├──fe_catboost_feature_importance.csv 2.25kb
| | ├──fe_catboost_feature_importance.png 36.91kb
| | ├──fe_catboost_prediction_vs_actual.png 80.19kb
| | ├──fe_catboost_submit_result.csv 1.26M
| | ├──lightgbm_feature_importance.png 29.07kb
| | ├──lightgbm_prediction_vs_actual.png 80.01kb
| | ├──lightgbm_submit_result.csv 1.26M
| | ├──model_ensemble.py 3.74kb
| | ├──prediction_vs_actual.png 78.76kb
| | ├──predict_catboost.py 6.14kb
| | ├──price_distribution.png 17.99kb
| | ├──price_vs_kilometer.png 72.02kb
| | ├──price_vs_power.png 47.34kb
| | ├──price_vs_v_0.png 112.22kb
| | ├──price_vs_v_1.png 140.78kb
| | ├──price_vs_v_2.png 83.39kb
| | ├──submit_result-xgboost.csv 861.07kb
| | ├──submit_result.csv 1.26M
| | ├──train_catboost.py 4.99kb
| | ├──train_lightgbm.py 5.31kb
| | ├──train_xgboost.py 4.65kb
| | ├──used_car_sample_submit.csv 439.47kb
| | ├──used_car_testB_20200421.csv 17.06M
| | ├──used_car_train_20200313.csv 51.77M
| | ├──view_data.py 4.29kb
| | └──特征工程.md 3.51kb
| ├──1-分析式AI基础.pdf 2.43M
| └──笔记20250603.txt 4.02kb
├──19-不同领域的AI算法
| ├──【完成参考】Case-二手车价格预测
| | ├──.ipynb_checkpoints
| | ├──catboost_info
| | ├──processed_data
| | ├──eda_used_car.ipynb 13.39kb
| | ├──eda_used_car.py 2.56kb
| | ├──feature_engineering_and_catboost.ipynb 106.57kb
| | ├──feature_engineering_and_catboost.py 13.44kb
| | ├──fe_catboost_feature_importance.csv 1.87kb
| | ├──fe_catboost_feature_importance.png 34.75kb
| | ├──fe_catboost_prediction_vs_actual.png 70.12kb
| | ├──used_car_sample_submit.csv 439.47kb
| | ├──used_car_testB_20200421.csv 17.06M
| | └──used_car_train_20200313.csv 51.77M
| ├──1-不同领域的AI算法.pdf 3.09M
| └──笔记20250605.txt 10.13kb
├──2-Prompt工程：设计与优化
| ├──1-DeepSeek使用.pdf 3.45M
| ├──1-情感分析-Deepseek-阿里代理.ipynb 1.70kb
| ├──1-情感分析-Deepseek-阿里代理.py 1.03kb
| ├──2-提示词工程.pdf 1.17M
| ├──2-提示词工程使用.ipynb 9.66kb
| ├──2-提示词工程使用.py 3.70kb
| ├──3-deepseek-r1-7b使用.ipynb 6.62kb
| ├──3-deepseek-r1-7b使用.py 0.97kb
| ├──README.md 1.77kb
| └──笔记20250403.txt 4.41kb
├──20-机器学习神器
| ├──Attrition
| | ├──catboost_info
| | ├──attrition.csv 183.15kb
| | ├──attrition_catboost.py 2.25kb
| | ├──attrition_gbdt.py 1.57kb
| | ├──attrition_lgb.py 2.76kb
| | ├──attrition_lgb_onehot.py 2.23kb
| | ├──attrition_lr.py 3.10kb
| | ├──attrition_lr_threshold.py 2.32kb
| | ├──attrition_ngboost.py 1.64kb
| | ├──attrition_svc.py 2.74kb
| | ├──attrition_xgboost.py 2.12kb
| | ├──submit_cb.csv 2.10kb
| | ├──submit_gbdt.csv 7.29kb
| | ├──submit_lgb.csv 2.10kb
| | ├──submit_lr.csv 7.18kb
| | ├──submit_lr_threshold.csv 2.10kb
| | ├──submit_ngb.csv 2.10kb
| | ├──submit_svc.csv 2.10kb
| | ├──submit_xgb.csv 4.62kb
| | ├──test.csv 45.18kb
| | ├──train.csv 183.15kb
| | └──train_label_encoder.csv 97.84kb
| ├──voice
| | ├──voice.csv 1.02M
| | ├──voice_predict.ipynb 107.84kb
| | └──voice_predict.py 2.90kb
| ├──1-机器学习神器.pdf 1.68M
| └──笔记20250610.txt 5.92kb
├──21-时间序列模型
| ├──CASE-资金流入流出预测
| | ├──comp_predict_table.csv 0.08kb
| | ├──mfd_bank_shibor.csv 19.06kb
| | ├──mfd_day_share_interest.csv 9.53kb
| | ├──user_balance_table.csv 150.45M
| | └──user_profile_table.csv 728.55kb
| ├──sales_prediction
| | ├──.ipynb_checkpoints
| | ├──predict1.ipynb 37.35kb
| | ├──sales.csv 0.64kb
| | └──sales_prediction.py 2.99kb
| ├──stock
| | ├──.ipynb_checkpoints
| | ├──.qodo
| | ├──.gitignore 0.01kb
| | ├──1-stock_tsa.ipynb 87.40kb
| | ├──1-stock_tsa.py 0.73kb
| | ├──2-arma-demo.ipynb 179.94kb
| | ├──2-arma_demo.py 1.36kb
| | ├──3-stock_arma.ipynb 289.04kb
| | ├──4-stock_arima.ipynb 164.45kb
| | ├──4-stock_arima.py 2.99kb
| | ├──5-stock_prophet.ipynb 160.24kb
| | ├──688692_SH_close_price.png 58.81kb
| | ├──688692_SH_daily_data.csv 16.93kb
| | ├──688692_SH_full_prediction.png 69.79kb
| | ├──688692_SH_model_fit_seasonal.png 100.82kb
| | ├──688692_SH_prediction_seasonal.png 56.80kb
| | ├──688692_SH_prediction_seasonal_results.csv 0.59kb
| | ├──download_688692SH.py 2.44kb
| | ├──download_688692SH_alt.py 3.70kb
| | ├──predict_688692SH.py 5.90kb
| | ├──predict_688692SH_prophet.py 6.22kb
| | ├──predict_688692SH_seasonal.py 6.78kb
| | ├──README.md 2.20kb
| | ├──run_all_predictions.py 7.66kb
| | ├──shanghai_index_1990_12_19_to_2020_03_12.csv 270.06kb
| | ├──stock_arima.py 3.08kb
| | ├──stock_arma.py 3.16kb
| | ├──stock_lstm.py 4.25kb
| | ├──stock_prophet.py 1.06kb
| | └──stock_tsa.py 0.65kb
| ├──1-时间序列分析.pdf 1.96M
| └──笔记20250612.txt 6.81kb
├──22-时间序列AI大赛
| ├──CASE-资金流入流出预测
| | ├──boxplot_weekday.py 1.59kb
| | ├──comp_predict_table.csv 0.08kb
| | ├──cycle_factor_predict.py 1.87kb
| | ├──mfd_bank_shibor.csv 19.06kb
| | ├──mfd_day_share_interest.csv 9.53kb
| | ├──predict.py 3.59kb
| | ├──predict_prophet.py 4.38kb
| | ├──user_balance_table.csv 150.45M
| | └──user_profile_table.csv 728.55kb
| ├──jetrail
| | ├──jetrail_prophet.py 0.90kb
| | └──train.csv 477.59kb
| ├──manning
| | ├──.ipynb_checkpoints
| | ├──manning.csv 84.81kb
| | ├──manning_prophet.ipynb 1.17M
| | ├──manning_prophet.py 3.44kb
| | ├──突变点检测.ipynb 165.16kb
| | └──突变点检测.py 1.65kb
| ├──stock
| | ├──.ipynb_checkpoints
| | ├──arma_demo.py 1.26kb
| | ├──shanghai_index_1990_12_19_to_2020_03_12.csv 270.06kb
| | ├──stock_arima.py 3.08kb
| | ├──stock_arma.py 3.16kb
| | ├──stock_lstm.py 4.25kb
| | ├──stock_prophet.ipynb 243.75kb
| | ├──stock_prophet.py 1.01kb
| | └──stock_tsa.py 0.65kb
| ├──笔记20250617.txt 7.38kb
| └──时间序列AI大赛.pdf 1.61M
├──23-项目实战：企业知识库
| ├──RAG-Challenge-2-main
| | ├──.ipynb_checkpoints
| | ├──.specstory
| | ├──data
| | ├──docs
| | ├──src
| | ├──.cursorindexingignore 0.11kb
| | ├──.gitignore 3.25kb
| | ├──1-情感分析-Qwen.py 0.75kb
| | ├──dashscope-embedding-1.py 0.69kb
| | ├──env 0.26kb
| | ├──LICENSE 1.04kb
| | ├──main.py 2.46kb
| | ├──README.md 3.50kb
| | ├──requirements.txt 0.49kb
| | ├──setup.py 0.10kb
| | └──运行情况.txt 26.01kb
| ├──RAG-cy
| | ├──.ipynb_checkpoints
| | ├──.specstory
| | ├──data
| | ├──docs
| | ├──src
| | ├──.cursorindexingignore 0.11kb
| | ├──.gitignore 3.25kb
| | ├──1-情感分析-Qwen.py 0.75kb
| | ├──app_streamlit.py 3.52kb
| | ├──dashscope-embedding-1.py 0.69kb
| | ├──env 0.26kb
| | ├──LICENSE 1.04kb
| | ├──main.py 2.46kb
| | ├──README.md 3.50kb
| | ├──requirements.txt 0.49kb
| | ├──setup.py 0.10kb
| | ├──UI界面参考.png 173.56kb
| | └──运行情况.txt 16.86kb
| ├──1-项目实战：企业知识库.pdf 2.82M
| └──笔记20250619.txt 16.54kb
├──24-项目实战：交互式BI报表
| ├──CASE-ChatBI助手
| | └──说明.txt 0.08kb
| ├──【完成参考】CASE-ChatBI助手
| | ├──.specstory
| | ├──image_show
| | ├──workspace
| | ├──.cursorindexingignore 0.11kb
| | ├──assistant_ticket_bot-3.py 8.59kb
| | ├──faq.txt 0.79kb
| | ├──README_CN.md 12.36kb
| | ├──requirements.txt 0.05kb
| | ├──stock_data.py 2.04kb
| | ├──stock_history_data.sql 1.02kb
| | ├──stock_history_data.xlsx 270.63kb
| | ├──stock_query_assistant-2.py 8.64kb
| | ├──stock_query_assistant-3.py 12.77kb
| | ├──stock_query_assistant-4.py 17.87kb
| | ├──stock_query_assistant-5.py 19.56kb
| | └──stock_query_assistant.py 7.77kb
| ├──1-项目实战：交互式BI报表.pdf 7.05M
| └──笔记20250624.txt 5.90kb
├──25-项目实战：AI运营助手
| ├──BreadBasket
| | ├──apriori_breadbasket.py 2.10kb
| | └──BreadBasket_DMS.csv 671.85kb
| ├──CASE-百万客群经营
| | ├──create_sql.sql 3.41kb
| | ├──customer_base.csv 1.61M
| | ├──customer_behavior_assets.csv 24.59M
| | └──项目说明.txt 0.69kb
| ├──【完成参考】CASE-百万客群经营
| | ├──image_show
| | ├──static
| | ├──templates
| | ├──workspace
| | ├──1-情感分析-Qwen.py 0.77kb
| | ├──apriori_product_combination.py 1.67kb
| | ├──arima_asset_trend.py 3.22kb
| | ├──aum_forecast.png 82.12kb
| | ├──aum_history.png 77.75kb
| | ├──bank_customer_assistant.py 12.26kb
| | ├──clustering_customer_segmentation.py 2.58kb
| | ├──customer_base.csv 1.85M
| | ├──customer_behavior_assets.csv 29.14M
| | ├──customer_clusters.png 96.71kb
| | ├──customer_cluster_result.csv 74.67kb
| | ├──dashboard_app.py 5.00kb
| | ├──decision_tree_high_value.py 2.90kb
| | ├──frequent_product_itemsets.csv 0.80kb
| | ├──lgbm_feature_importance.png 31.87kb
| | ├──lgbm_high_value_model.txt 122.61kb
| | ├──LightGBM-SHAP解释.md 2.40kb
| | ├──simulated_customers_explain.py 2.16kb
| | ├──simulated_customers_with_explain.xlsx 9.34kb
| | ├──simulate_customers_and_predict.py 2.55kb
| | ├──tree_depth4.png 203.32kb
| | ├──coefficient_bar.png 42.94kb
| | ├──lightgbm_high_value.py 3.22kb
| | ├──lightgbm_high_value_predict.py 1.51kb
| | ├──LightGBM解释.md 1.96kb
| | ├──logistic_regression_high_value.py 3.75kb
| | ├──product_association_rules.csv 5.40kb
| | ├──read_data.py 0.60kb
| | ├──shap_force_plot.png 65.83kb
| | ├──shap_lightgbm_high_value.py 3.30kb
| | ├──shap_summary_plot.png 68.87kb
| | ├──simulated_customers.xlsx 8.31kb
| | ├──决策树解释.md 1.82kb
| | ├──客户话术.xlsx 5.60kb
| | ├──客户话术生成.py 0.86kb
| | ├──客户数据库建表.sql 2.88kb
| | ├──课题说明.md 2.29kb
| | ├──逻辑回归解释.md 2.42kb
| | ├──数据表字段含义.md 3.96kb
| | └──智能助手问题集.md 3.20kb
| ├──magicOrb.js 13.55kb
| ├──笔记20250626.txt 8.04kb
| └──项目实战：AI运营助手.pdf 9.10M
├──26-项目实战：AI搜索类应用
| ├──CASE-AI搜索问答
| | ├──docs
| | ├──__pycache__
| | ├──ai_bot-1.py 6.66kb
| | ├──block_api_demo1.py 0.42kb
| | ├──logo.png 4.23kb
| | └──知乎直答.png 398.64kb
| ├──CASE-Qwen-Agent最佳实践
| | ├──1-long_dialogue.py 1.04kb
| | ├──2-parallel_doc_qa.py 1.26kb
| | ├──3-gpt_mentions.py 1.47kb
| | └──4-multi_agent_router_cn.py 3.01kb
| ├──【完成参考】CASE-AI搜索问答
| | ├──docs
| | ├──qwen_agent
| | ├──static
| | ├──__pycache__
| | ├──.cursorindexingignore 0.11kb
| | ├──ai_bot-1.py 6.66kb
| | ├──ai_bot-2.py 6.85kb
| | ├──ai_bot-3.py 2.69kb
| | ├──ai_bot-4.py 3.33kb
| | ├──ai_bot-5.py 8.75kb
| | ├──ai_bot-6.py 7.56kb
| | ├──ai_bot-7.py 7.33kb
| | ├──ai_bot-8.py 7.82kb
| | ├──ai_bot-9.py 8.24kb
| | ├──block_api_demo1.py 0.42kb
| | ├──es_retrieval_tool.py 8.44kb
| | ├──index_and_search_docs-embedding.py 6.72kb
| | ├──index_and_search_docs.py 4.79kb
| | ├──qwen-agent-multi-files-gui.py 6.66kb
| | ├──qwen-agent-multi-files.py 3.84kb
| | ├──qwen3-embedding.py 0.66kb
| | ├──simple_es_test.py 3.97kb
| | ├──stock_query_assistant-3.py 14.84kb
| | ├──test_es_retrieval.py 3.18kb
| | ├──test_es_single_file.py 8.72kb
| | └──知乎直答.png 398.64kb
| ├──1-项目实战：AI搜索类应用.pdf 7.91M
| └──笔记20250701.txt 11.91kb
├──3-Cursor编程：从入门到精通
| ├──CASE-bed_usage
| | ├──.qodo
| | └──hospital_bed_usage_data.xlsx 3.07M
| ├──CASE-dashboard_epidemic
| | └──香港各区疫情数据_20250322.xlsx 183.64kb
| ├──CASE-Excel_merge
| | ├──员工基本信息表.xlsx 9.48kb
| | └──员工绩效表.xlsx 6.69kb
| ├──【完成参考】bed_usage
| | ├──.qodo
| | ├──charts
| | ├──data_cache
| | ├──templates
| | ├──.gitignore 0.01kb
| | ├──app.py 20.70kb
| | ├──hospital_bed_usage_data.xlsx 3.07M
| | ├──precompute_data.py 8.07kb
| | ├──README.md 1.45kb
| | └──view_excel_data.py 7.18kb
| ├──【完成参考】dashboard_epidemic
| | ├──.git
| | ├──.qodo
| | ├──static
| | ├──templates
| | ├──.gitignore 0.01kb
| | ├──app.py 7.53kb
| | ├──README.md 1.70kb
| | ├──read_excel.py 7.98kb
| | ├──requirements.txt 0.06kb
| | ├──各地区确诊病例对比图.png 264.18kb
| | ├──活跃病例数据统计图.png 202.23kb
| | ├──每日确诊数据统计图.png 349.87kb
| | ├──香港各区疫情数据_20250322.xlsx 183.64kb
| | ├──疫情数据统计图 – 副本.png 179.12kb
| | └──疫情数据统计图.png 179.12kb
| ├──【完成参考】Excel_merge
| | ├──.qodo
| | ├──.gitignore 0.01kb
| | ├──Excel_merge.py 1.25kb
| | ├──员工基本信息表.xlsx 9.48kb
| | ├──员工绩效表.xlsx 6.69kb
| | └──员工信息与绩效合并表.xlsx 6.26kb
| ├──1-Cursor编程.pdf 3.91M
| ├──【补充】CASE-病床使用情况.pdf 1.83M
| ├──【课前准备】AI编程工具安装.pdf 131.73kb
| └──笔记20250408.txt 7.27kb
├──4-Cursor数据可视化与洞察
| ├──CASE-客户续保预测
| | ├──policy_data.xlsx 93.93kb
| | └──policy_test.xlsx 25.09kb
| ├──【完成参考】CASE-客户续保预测
| | ├──.qodo
| | ├──.gitignore 0.01kb
| | ├──age_distribution.png 16.25kb
| | ├──analyze_data.py 3.13kb
| | ├──best_decision_tree_text.txt 2.83kb
| | ├──best_decision_tree_viz.png 657.00kb
| | ├──best_dt_roc_curve.png 39.14kb
| | ├──best_lr_coefficients.png 46.71kb
| | ├──best_lr_feature_importance.png 32.37kb
| | ├──best_lr_roc_curve.png 36.37kb
| | ├──best_roc_curve.png 35.87kb
| | ├──bnb_confusion_matrix.png 22.33kb
| | ├──bnb_roc_curve.png 34.49kb
| | ├──confusion_matrix.png 16.50kb
| | ├──decision_tree_model.py 7.76kb
| | ├──decision_tree_text.txt 4.61kb
| | ├──decision_tree_viz.png 666.91kb
| | ├──dt_confusion_matrix.png 17.82kb
| | ├──dt_feature_importance.png 31.31kb
| | ├──dt_roc_curve.png 38.04kb
| | ├──feature_importance.png 31.53kb
| | ├──gender_age_boxplot.png 15.10kb
| | ├──gender_distribution.png 22.45kb
| | ├──gnb_confusion_matrix.png 21.77kb
| | ├──gnb_roc_curve.png 33.18kb
| | ├──logistic_regression_model.py 8.78kb
| | ├──lr_coefficients.png 45.18kb
| | ├──lr_confusion_matrix.png 18.77kb
| | ├──lr_feature_importance.png 31.12kb
| | ├──lr_roc_curve.png 32.77kb
| | ├──mnb_confusion_matrix.png 19.88kb
| | ├──mnb_roc_curve.png 33.74kb
| | ├──naive_bayes_model.py 10.29kb
| | ├──nb_models_comparison_roc.png 55.42kb
| | ├──policy_data.xlsx 93.93kb
| | ├──policy_test.xlsx 25.09kb
| | ├──random_forest_model.py 6.47kb
| | ├──README.md 2.95kb
| | ├──region_correlation.png 44.69kb
| | ├──roc_curve.png 33.52kb
| | ├──view_data.py 0.27kb
| | └──view_excel.py 0.22kb
| ├──2-CASE-客户续保预测.pdf 2.97M
| ├──1-Cursor数据可视化与洞察.pdf 1.01M
| └──笔记20250410.txt 6.26kb
├──5-Embeddings和向量数据库
| ├──hotel_recommendation
| | ├──.ipynb_checkpoints
| | ├──.qodo
| | ├──.gitignore 0.01kb
| | ├──hotel_rec – nltk.py 3.97kb
| | ├──hotel_rec.ipynb 142.59kb
| | ├──hotel_rec.py 5.55kb
| | └──Seattle_Hotels.csv 155.59kb
| ├──word2vec
| | ├──journey_to_the_west
| | ├──models
| | ├──three_kingdoms
| | ├──utils
| | ├──word_seg.py 1.11kb
| | └──word_similarity.py 1.11kb
| ├──1-Embedding与向量数据库.pdf 1.16M
| └──笔记20250414.txt 4.19kb
├──6-RAG技术与应用
| ├──CASE-ChatPDF-Faiss
| | ├──.ipynb_checkpoints
| | ├──.qodo
| | ├──faiss-1
| | ├──chatpdf-faiss.ipynb 18.85kb
| | ├──chatpdf-faiss.py 6.73kb
| | ├──ReadMe.md 3.79kb
| | └──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 323.28kb
| ├──CASE-embedding使用
| | ├──.qodo
| | ├──bge-m3使用.py 1.16kb
| | ├──gte-qwen2-使用1.py 1.45kb
| | └──gte-qwen2-使用2.py 4.66kb
| ├──1-RAG技术与应用.pdf 2.07M
| ├──2-NotebookLM使用.pdf 1.68M
| └──笔记20250417.txt 7.41kb
├──7-RAG高级技术与最佳实践
| ├──Case-ChatPDF-Faiss
| | ├──chatpdf-faiss.ipynb 18.24kb
| | ├──chatpdf-faiss.py 6.73kb
| | ├──MultiQueryRetriever使用.ipynb 5.49kb
| | ├──MultiQueryRetriever使用.py 1.30kb
| | └──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 323.28kb
| ├──CASE-Qwen-Agent-RAG
| | ├──docs
| | ├──qwen-agent-1.ipynb 6.35kb
| | ├──qwen-agent-1.py 3.28kb
| | ├──qwen-agent-multi-files.ipynb 15.72kb
| | ├──qwen-agent-multi-files.py 3.84kb
| | └──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 323.28kb
| ├──graphrag-main
| | └──cases
| ├──rerank
| | ├──beg-reranker.ipynb 8.72kb
| | └──beg-reranker.py 1.21kb
| ├──1-RAG高级技术与实践.pdf 5.33M
| └──笔记20250422.txt 6.42kb
├──8-Text2SQL：自助式数据报表开发
| ├──CASE-SQL Copilot
| | ├──insurance
| | ├──codegeex-1.ipynb 8.44kb
| | └──qwen-coder1.ipynb 6.06kb
| ├──Case-SQL-LangChain
| | ├──.ipynb_checkpoints
| | ├──sql_agent_deepseek.ipynb 22.39kb
| | └──sql_life_insurance.ipynb 30.58kb
| ├──CASE-SQL-vanna
| | ├──vanna-mysql.ipynb 21.86kb
| | └──vanna-mysql.py 3.18kb
| ├──SQL数据表源文件
| | ├──agentinfo.sql 235.42kb
| | ├──beneficiaryinfo.sql 140.62kb
| | ├──claiminfo.sql 271.36kb
| | ├──crs_orders.sql 4.98kb
| | ├──customerinfo.sql 266.22kb
| | ├──employeeinfo.sql 303.85kb
| | ├──heros.sql 14.66kb
| | ├──policyinfo.sql 242.63kb
| | └──productinfo.sql 201.10kb
| ├──1-Text2SQL：自助式数据报表开发.pdf 3.08M
| ├──2-vanna使用.pdf 479.21kb
| └──笔记20250424.txt 9.35kb
├──9-LangChain：多任务应用开发
| ├──Case-LangChain使用
| | ├──.ipynb_checkpoints
| | ├──1-LLMChain.ipynb 2.73kb
| | ├──2-LLMChain.ipynb 7.27kb
| | ├──3-LLMChain.ipynb 5.46kb
| | ├──4-ConversationChain.ipynb 4.35kb
| | └──5-product_llm.py 8.53kb
| ├──CASE-搭建故障诊断Agent
| | ├──2-network_diagnosis_agent.py 10.62kb
| | ├──network_diagnosis_agent_logic.md 5.46kb
| | └──requirements.txt 0.05kb
| ├──CASE-工具链组合
| | ├──1-simple_toolchain.py 9.21kb
| | ├──2-simple_toolchain.py 7.91kb
| | ├──3-lcel-demo.py 1.17kb
| | └──requirements.txt 0.11kb
| ├──1-LangChain：多任务应用开发.pdf 3.03M
| ├──2-Generative Agents.pdf 1.41M
| └──笔记20250429.txt 5.20kb
├──常用工具下载
| └──OllamaSetup.exe 1001.01M