地球资源数据云——数据资源详情
印度的教育
该数据集《Education in India》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：District and state - wise primary & secondary school education data, 2015 - 16 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：2015_16_Districtwise.csv, 2015_16_Districtwise_Metadata.csv, 2015_16_Statewise_Elementary.csv 等 6 个文件。 <div> <a href="https://link.rajanand.org/newsletter" target="_blank"> <img src="https://link.rajanand.org/banner - 01" alt="Data Newsletter" style="width: 700px; height: 120px"></a> </div> - - - Context When India got independence from British in 1947 the literacy rate was 12.2% and as per the recent census 2011 it is 74.0%. Although it looks an accomplishment, still many people are there without access to education. It would be interesting to know the current status of the Indian education system. Content
摘要概览
该数据集《Education in India》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：District and state - wise primary & secondary school education data, 2015 - 16
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：2015_16_Districtwise.csv, 2015_16_Districtwise_Metadata.csv, 2015_16_Statewise_Elementary.csv 等 6 个文件。
<div> <a href="https://link.rajanand.org/newsletter" target="_blank"> <img src="https://link.rajanand.org/banner - 01" alt="Data Newsletter" style="width: 700px; height: 120px"></a> </div> - - -
Context
When India got independence from British in 1947 the literacy rate was 12.2% and as per the recent census 2011 it is 74.0%. Although it looks an accomplishment, still many people are there without access to education.
It would be interesting to know the current status of the Indian education system.
Content