12nd_Datawhale_Learning

pandas and machine learning

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
1. Pandas基础.ipynb		1. Pandas基础.ipynb
2.索引.ipynb		2.索引.ipynb
3. 分组.ipynb		3. 分组.ipynb
4. CFR 条件随机场.ipynb		4. CFR 条件随机场.ipynb
4. 变形.ipynb		4. 变形.ipynb
5. SVM.ipynb		5. SVM.ipynb
5. 合并.ipynb		5. 合并.ipynb
6. 综合练习.ipynb		6. 综合练习.ipynb
README.md		README.md
Task 05 模型集成.ipynb		Task 05 模型集成.ipynb
Task 1 Linear Model.md		Task 1 Linear Model.md
Task 1 赛题理解.ipynb		Task 1 赛题理解.ipynb
Task 3 EM - 期望最大算法.ipynb		Task 3 EM - 期望最大算法.ipynb
Task07 文本数据.ipynb		Task07 文本数据.ipynb
Task08 分类数据.ipynb		Task08 分类数据.ipynb
Task09 时序数据.ipynb		Task09 时序数据.ipynb
Task2 数据读取与数据扩增.ipynb		Task2 数据读取与数据扩增.ipynb
Task3 字符识别模型.ipynb		Task3 字符识别模型.ipynb
Task4 模型训练与验证.ipynb		Task4 模型训练与验证.ipynb
Task6 缺失值.ipynb		Task6 缺失值.ipynb
Tasks 2 Naive Bayes.ipynb		Tasks 2 Naive Bayes.ipynb
第一章数据加载及探索性数据分析.ipynb		第一章数据加载及探索性数据分析.ipynb
第二章(2) 数据重构.ipynb		第二章(2) 数据重构.ipynb
第二章(3) 数据可视化.ipynb		第二章(3) 数据可视化.ipynb
综合练习下.ipynb		综合练习下.ipynb

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