地球资源数据云——数据资源详情
Udemy 课程数据 2023
该数据集《Udemy Courses Data 2023》主要用于监督学习任务，数据形态以图像为主，应用场景偏向文本内容分析。 题目说明：Unleashing the Power of Education: Exploring Udemy Course Trends and Insights 任务类型：图像监督学习。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 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：courses.csv, instructors.csv。 The dataset contains 2 csv files courses.csv: contains the information about the courses instructors.csv: contains the information about the instructors The dataset contains 10 columns in courses.csv - id: unique id of the course [int] - title: title of the course [string] - url: url of the course [string] - rating: rating of the course [float] - num_reviews: number of reviews of the course [int] - num_published_lectures: number of lectures in the course [int] - created: date of creation of the course [string] - last_update_date: date of last update of the
摘要概览
该数据集《Udemy Courses Data 2023》主要用于监督学习任务，数据形态以图像为主，应用场景偏向文本内容分析。 题目说明：Unleashing the Power of Education: Exploring Udemy Course Trends and Insights
任务类型：图像监督学习。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
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：courses.csv, instructors.csv。
The dataset contains 2 csv files
courses.csv: contains the information about the courses
instructors.csv: contains the information about the instructors
The dataset contains 10 columns in courses.csv
- id: unique id of the course [int] - title: title of the course [string] - url: url of the course [string] - rating: rating of the course [float] - num_reviews: number of reviews of the course [int] - num_published_lectures: number of lectures in the course [int] - created: date of creation of the course [string] - last_update_date: date of last update of the