地球资源数据云——数据资源详情
农业商品数据集
该数据集《Agricultural_Commodity_Dataset》主要用于回归/预测任务，数据形态以文本为主，应用场景偏向农业场景。 题目说明：clean data for beginners: data analytics + visualization + timeseries modeling 任务类型：文本回归/预测。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 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：Monthly_data_cmo.csv。 Context This dataset has data from 2014 - 2016 data for different commodities purchased across the state of Maharashtra. This dataset is a good start for implementing data visualization and basic time - series forecasting models Content The dataset contains district , volumes purchased and prices of different commodities. Acknowledgements
摘要概览
该数据集《Agricultural_Commodity_Dataset》主要用于回归/预测任务，数据形态以文本为主，应用场景偏向农业场景。 题目说明：clean data for beginners: data analytics + visualization + timeseries modeling
任务类型：文本回归/预测。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
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：Monthly_data_cmo.csv。
Context
This dataset has data from 2014 - 2016 data for different commodities purchased across the state of Maharashtra. This dataset is a good start for implementing data visualization and basic time - series forecasting models
Content
The dataset contains district , volumes purchased and prices of different commodities.
Acknowledgements