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X-lab2017
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OpenTEA101
📚 Data Science Experiment Handbook: 一个致力于深入探索和分享如何识别GitHub异常账户的数据科学实验手册。本仓库包括从数据获取、预处理、特征工程到模型构建与评估的完整流程。欢迎各位数据科学爱好者、研究者和开发者共同参与与贡献!
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remove 07 step
#18
bifenglin
closed
1 year ago
0
data model and evaluation
#17
l1tok
closed
1 year ago
0
Leave the bio column as the text feature
#16
wj23027
closed
1 year ago
0
upload feature data and update 04feature_engineering.ipynb
#15
andyhuang18
closed
1 year ago
0
实验手册bot_detection任务改进
#14
bifenglin
opened
1 year ago
0
Updated data preprocessing and data exploration sections
#13
wj23027
closed
1 year ago
0
add figure
#12
l1tok
closed
1 year ago
0
update data_modeling
#11
Zzzzzhuzhiwei
closed
1 year ago
0
update raw data and ipynb
#10
andyhuang18
closed
1 year ago
0
upload raw data
#9
andyhuang18
closed
1 year ago
0
revised data preprocessing and data exploration notebooks
#8
wj23027
closed
1 year ago
0
add emotion_analysis
#7
l1tok
closed
1 year ago
0
add predict_star/05data_modeling.ipynb
#6
l1tok
closed
1 year ago
0
特征工程实验手册设计，添加额外的数据集
#5
andyhuang18
closed
1 year ago
1
add bot_detection data modeling
#4
Zzzzzhuzhiwei
closed
1 year ago
0
数据收集部分实验手册设计
#3
andyhuang18
closed
1 year ago
0
添加问题定义
#2
bifenglin
closed
1 year ago
0
关于本仓库名称与实验手册内容的建议
#1
will-ww
opened
1 year ago
4