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整体进度 v0.21.3(校对) #352

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jiangzhonglian opened this issue Jul 26, 2019 · 32 comments
Open

整体进度 v0.21.3(校对) #352

jiangzhonglian opened this issue Jul 26, 2019 · 32 comments
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@jiangzhonglian
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@jiangzhonglian jiangzhonglian commented Jul 26, 2019

认领须知

提交的时候不要改动文件名称,因为文件名和原文的链接是对应的!!!

留言格式:昵称 + QQ + 章节

昵称: 表示已经该用户任务过期,他人可认领替代!

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

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@wizardforcel

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@qinhanmin2014

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@jiangzhonglian jiangzhonglian changed the title 整体进度 v0.21.x(校对) 整体进度 v0.21.3(校对) Aug 4, 2019
@jiangzhonglian jiangzhonglian pinned this issue Aug 4, 2019
@qinhanmin2014

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@VPrincekin

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@barrycg

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@qinhanmin2014

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@barrycg

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@qinhanmin2014

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@VPrincekin

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@qinhanmin2014

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@barrycg

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@ReneeGithub

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@qinhanmin2014

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@P3n9W31
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@P3n9W31 P3n9W31 commented Nov 11, 2019

P3n9W31 + 348061475 + 3.1, 3.2, 3.3, 3.4, 3.5

@mahaoyang

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@jiangzhonglian

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@LovelyBuggies

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@LovelyBuggies

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@jiangzhonglian

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@LovelyBuggies

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@jiangzhonglian

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@LovelyBuggies

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@wanruixiang
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@wanruixiang wanruixiang commented Jul 7, 2020

1.10. 决策树有人领吗, 没有我领走了
QQ: 3347264548

@jiangzhonglian
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@jiangzhonglian jiangzhonglian commented Jul 8, 2020

1.10. 决策树有人领吗, 没有我领走了
QQ: 3347264548

已经安排好了,就等大佬来装逼!

@LingrenKong
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@LingrenKong LingrenKong commented Feb 4, 2021

认领(之前没有用过sklearn的高斯过程,但是最近正好需要学,这样可以吗)

1.7. 高斯过程

QQ 1551086871

@jiangzhonglian
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@jiangzhonglian jiangzhonglian commented Feb 4, 2021

认领(之前没有用过sklearn的高斯过程,但是最近正好需要学,这样可以吗)

1.7. 高斯过程

QQ 1551086871

可以可以

@jiangzhonglian
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@jiangzhonglian jiangzhonglian commented Feb 4, 2021

P3n9W31 + 348061475 + 3.1, 3.2, 3.3, 3.4, 3.5

小哥哥,别忘记提交哈?

@jiangzhonglian
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@jiangzhonglian jiangzhonglian commented Feb 4, 2021

1.10. 决策树有人领吗, 没有我领走了
QQ: 3347264548

小哥哥,别忘记提交哈?

@GZYZG
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@GZYZG GZYZG commented Apr 12, 2021

GZYZG + 2227423992 + 1.12. 多类和多标签算法

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