整体进度 v0.21.3（校对）

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| 章节 | 校验者 | 进度 |
| --- | --- | --- |
| [安装 scikit-learn](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/62.md) | | |
| 用户指南 | - | - |
| [1. 监督学习](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/1.md) | @LovelyBuggies | 100% |
| [1.1. 广义线性模型](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/2.md) | @qinhanmin2014| 100% |
| [1.2. 线性和二次判别分析](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/3.md) | @VPrincekin
@LovelyBuggies | 100% |
| [1.3. 内核岭回归](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/4.md) | @qinhanmin2014 | 100% |
| [1.4. 支持向量机](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/5.md) | @qinhanmin2014 | 100% |
| [1.5. 随机梯度下降](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/6.md) | @qinhanmin2014 | 100% |
| [1.6. 最近邻](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/7.md) | @qinhanmin2014 | 100% |
| [1.7. 高斯过程](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/8.md) | @LingrenKong | |
| [1.8. 交叉分解](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/9.md) | @qinhanmin2014 | 100% |
| [1.9. 朴素贝叶斯](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/10.md) | @qinhanmin2014 | 100% |
| [1.10. 决策树](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/11.md) | @wanruixiang | |
| [1.11. 集成方法](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/12.md) | @qinhanmin2014 | 100% |
| [1.12. 多类和多标签算法](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/13.md) | | |
| [1.13. 特征选择](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/14.md) | | |
| [1.14. 半监督学习](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/15.md) |@LovelyBuggies | 100% |
| [1.15. 等式回归](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/16.md) | | |
| [1.16. 概率校准](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/17.md) | | |
| [1.17. 神经网络模型（有监督）](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/18.md) | @LovelyBuggies | 100% |
| [2. 无监督学习](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/19.md) | | |
| [2.1. 高斯混合模型](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/20.md) | @barrycg | 100% |
| [2.2. 流形学习](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/21.md) | @barrycg | 100% |
| [2.3. 聚类](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/22.md) | @barrycg | 100% |
| [2.4. 双聚类](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/23.md) | @barrycg | 100% |
| [2.5. 分解成分中的信号（矩阵分解问题）](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/24.md) | @barrycg | 100% |
| [2.6. 协方差估计](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/25.md) | @barrycg | 100% |
| [2.7. 新奇和异常值检测](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/26.md) | @barrycg | 100% |
| [2.8. 密度估计](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/27.md) | @barrycg | 100% |
| [2.9. 神经网络模型（无监督）](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/28.md) | @barrycg
@LovelyBuggies | 100% |
| [3. 模型选择和评估](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/29.md) | | |
| [3.1. 交叉验证：评估估算器的表现](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/30.md) | @P3n9W31 | |
| [3.2. 调整估计器的超参数](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/31.md) | @P3n9W31 | |
| [3.3. 模型评估: 量化预测的质量](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/32.md) | @P3n9W31 | |
| [3.4. 模型持久化](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/33.md) | @P3n9W31 | |
| [3.5. 验证曲线: 绘制分数以评估模型](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/34.md) | @P3n9W31 | |
| [4. 检验](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/35.md) | | |
| [4.1. 部分依赖图](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/36.md) | | |
| [5. 数据集转换](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/37.md) | @VPrincekin | 100% |
| [5.1. Pipeline（管道）和 FeatureUnion（特征联合）: 合并的评估器](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/38.md) | @VPrincekin | 100% |
| [5.2. 特征提取](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/39.md) | @VPrincekin | 100% |
| [5.3 预处理数据](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/40.md) | ~@VPrincekin~ | |
| [5.4 缺失值插补](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/41.md) | ~@VPrincekin~ | |
| [5.5. 无监督降维](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/42.md) | ~@VPrincekin~ | |
| [5.6. 随机投影](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/43.md) | | |
| [5.7. 内核近似](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/44.md) | | |
| [5.8. 成对的矩阵, 类别和核函数](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/45.md) | | |
| [5.9. 预测目标 (`y`) 的转换](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/46.md) | | |
| [6. 数据集加载工具](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md) | | |
| [6.1. 通用数据集 API](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md) | | |
| [6.2. 玩具数据集](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md) | | |
| [6.3 真实世界中的数据集](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md) | | |
| [6.4. 样本生成器](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md) | | |
| [6.5. 加载其他数据集](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/47.md) | | |
| [7. 使用scikit-learn计算](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md) | | |
| [7.1. 大规模计算的策略: 更大量的数据](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md) | | |
| [7.2. 计算性能](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md) | | |
| [7.3. 并行性、资源管理和配置](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/48.md) | | |
| [教程](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/50.md) | | |
| [使用 scikit-learn 介绍机器学习](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/51.md) | | |
| [关于科学数据处理的统计学习教程](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/52.md) | | |
| [机器学习: scikit-learn 中的设置以及预估对象](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/53.md) | | |
| [监督学习：从高维观察预测输出变量](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/54.md) | @LovelyBuggies | 100% |
| [模型选择：选择估计量及其参数](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/55.md) | | |
| [无监督学习: 寻求数据表示](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/56.md) | | |
| [把它们放在一起](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/57.md) | | |
| [寻求帮助](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/58.md) | | |
| [处理文本数据](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/59.md) | | |
| [选择正确的评估器(estimator.md)](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/60.md) | | |
| [外部资源，视频和谈话](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/61.md) | | |
| [API 参考](https://scikit-learn.org/stable/modules/classes.html) | | |
| [常见问题](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/63.md) | | |
| [时光轴](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.21.3/64.md) | | |