地球资源数据云——数据资源详情
该数据集《Global Online Orders》主要用于监督学习任务,数据形态以表格为主,应用场景偏向环保分类。 题目说明:Business Data Analysis: Exploration, Visualization, and Insights 任务类型:表格监督学习。 建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。 评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。 可用文件:未检测到标准 CSV,可优先查看目录中的索引或说明文件。 Dataset Overview Dataset Name: "Nuestro Amazon" E - Commerce Dataset General Description: This dataset represents an e - commerce database containing information about products, categories, customers, orders, and more. The data is structured to facilitate analysis and insights into various aspects of an e - commerce business. Structure and Attributes: The dataset consists of eight tables: categories, customers, employees, orders, ordersdetails, products, shippers, and suppliers. These tables encompass key information such as product details, customer information, order details. Data Source: The data was generated for educational and demonstration purposes to simulate an e - commerce environment. It is not sourced from a real - world e - commerce platform.

该数据集《Global Online Orders》主要用于监督学习任务,数据形态以表格为主,应用场景偏向环保分类。 题目说明:Business Data Analysis: Exploration, Visualization, and Insights
任务类型:表格监督学习。
建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。
评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。
可用文件:未检测到标准 CSV,可优先查看目录中的索引或说明文件。
Dataset Overview
Dataset Name: "Nuestro Amazon" E - Commerce Dataset
General Description: This dataset represents an e - commerce database containing information about products, categories, customers, orders, and more. The data is structured to facilitate analysis and insights into various aspects of an e - commerce business.
Structure and Attributes: The dataset consists of eight tables: categories, customers, employees, orders, ordersdetails, products, shippers, and suppliers. These tables encompass key information such as product details, customer information, order details.
Data Source: The data was generated for educational and demonstration purposes to simulate an e - commerce environment. It is not sourced from a real - world e - commerce platform.