apacheCNml&dl

.vscode/settings.json

@@ -74,5 +74,6 @@
         "xstddef": "cpp",
         "xtr1common": "cpp",
         "xtree": "cpp"
-    }
+    },
+    "git.ignoreLimitWarning": true
 }

Python/sklearn/sklearn-cookbook-zh/.gitignore

@@ -1 +0,0 @@
-Thumbs.db

Python/sklearn/sklearn-cookbook-zh/LICENSE

@@ -1,101 +0,0 @@
-Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (CC BY-NC-SA 4.0)
-
-Copyright © 2020 ApacheCN(apachecn@163.com)
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
-
-Section 1 – Definitions.
-
-a.  Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-b.  Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public License.
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-e.  Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
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-j.  Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-k.  NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-l.  Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-m.  Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-n.  You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
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-    1.  Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-        A.  reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-        B.  produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-    2.  Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-    3.  Term. The term of this Public License is specified in Section 6(a).
-    4.  Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-    5.  Downstream recipients.
-        A.  Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-        B.  Additional offer from the Licensor – Adapted Material. Every recipient of Adapted Material from You automatically receives an offer from the Licensor to exercise the Licensed Rights in the Adapted Material under the conditions of the Adapter’s License You apply.
-        C.  No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-    6.  No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-b.  Other rights.
-    1.  Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-    2.  Patent and trademark rights are not licensed under this Public License.
-    3.  To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-a.  Attribution.
-    1.  If You Share the Licensed Material (including in modified form), You must:
-        A.  retain the following if it is supplied by the Licensor with the Licensed Material:
-            i.  identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-           ii.  a copyright notice;
-          iii.  a notice that refers to this Public License;
-           iv.  a notice that refers to the disclaimer of warranties;
-            v.  a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-        B.  indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-        C.  indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-    2.  You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-    3.  If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-b.  ShareAlike.
-    In addition to the conditions in Section 3(a), if You Share Adapted Material You produce, the following conditions also apply.
-    1.  The Adapter’s License You apply must be a Creative Commons license with the same License Elements, this version or later, or a BY-NC-SA Compatible License.
-    2.  You must include the text of, or the URI or hyperlink to, the Adapter's License You apply. You may satisfy this condition in any reasonable manner based on the medium, means, and context in which You Share Adapted Material.
-    3.  You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, Adapted Material that restrict exercise of the rights granted under the Adapter's License You apply.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-a.  for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-b.  if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material, including for purposes of Section 3(b); and
-c.  You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-a.  Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-b.  To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-c.  The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-a.  This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-b.  Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-    1.  automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-    2.  upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-c.  For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-d.  Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-a.  The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-b.  Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-a.  For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-b.  To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-c.  No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-d.  Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.

Python/sklearn/sklearn-cookbook-zh/README.md

@@ -1,32 +0,0 @@
-# Scikit-learn 秘籍
-
-> 原书：[Scikit-learn Cookbook](https://www.packtpub.com/big-data-and-business-intelligence/scikit-learn-cookbook)
-> 
-> 协议：[CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/)
->  
-> 欢迎任何人参与和完善：一个人可以走的很快，但是一群人却可以走的更远。
-
-+   [ApacheCN 机器学习交流群 629470233](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)
-+   [ApacheCN 学习资源](http://www.apachecn.org/)
-
-<!--break-->
-
-+ [在线阅读](https://www.gitbook.com/book/wizardforcel/sklearn-cookbook/details)
-+ [PDF格式](https://www.gitbook.com/download/pdf/book/wizardforcel/sklearn-cookbook)
-+ [EPUB格式](https://www.gitbook.com/download/epub/book/wizardforcel/sklearn-cookbook)
-+ [MOBI格式](https://www.gitbook.com/download/mobi/book/wizardforcel/sklearn-cookbook)
-+ [代码仓库](http://git.oschina.net/wizardforcel/sklearn-cb)
-
-## 译者
-
-| | 章节 | 译者 |
-| --- | --- | --- |
-| 1 | 预处理 | [muxuezi](https://muxuezi.github.io/posts/1-premodel-workflow.html) |
-| 2 | 回归 | [muxuezi](https://muxuezi.github.io/posts/2-working-with-linear-models.html) |
-| 3 | 聚类 | [飞龙](https://github.com/wizardforcel) |
-| 4 | 分类 | [飞龙](https://github.com/wizardforcel) |
-| 5 | 后处理 | [飞龙](https://github.com/wizardforcel) |
-
-## 赞助我
-
-![](http://ww1.sinaimg.cn/large/841aea59ly1fx0qnvulnjj2074074747.jpg)

Python/sklearn/sklearn-cookbook-zh/styles/ebook.css

@@ -1,284 +0,0 @@
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-
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-/* BODY
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-  line-height: 1.6;
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-  margin: 0 auto;
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-
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-  margin-top: 0 !important;
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-
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Python/sklearn/sklearn-doc-zh/README.md

@@ -1,216 +0,0 @@
-# <center>scikit-learn (sklearn) 官方文档中文版</center>
-
-<center><img src="img/logo/scikit-learn-logo.png" alt="logo" /></center>
-
-<br/>
-<table>
-    <tr align="center">
-        <td><a title="sklearn 0.21.3[master] 中文文档" href="https://sklearn.apachecn.org/" target="_blank"><font size="5">sklearn 0.21.3 中文文档</font></a></td>
-        <td><a title="sklearn 0.21.3[master] 中文示例" href="https://sklearn.apachecn.org/docs/examples" target="_blank"><font size="5">sklearn 0.21.3 中文示例</font></a></td>
-        <td><a title="sklearn 英文官网" href="https://scikit-learn.org" target="_blank"><font size="5">sklearn 英文官网</font></a></td>
-    </tr>
-</table>
-<br/>
-
----
-
-## 介绍
-
-sklearn (scikit-learn) 是基于 Python 语言的机器学习工具
-
-1. 简单高效的数据挖掘和数据分析工具
-2. 可供大家在各种环境中重复使用
-3. 建立在 NumPy ，SciPy 和 matplotlib 上
-4. 开源，可商业使用 - BSD许可证
-
-> 组织构建[网站]
-
-+ GitHub Pages(国外): https://sklearn.apachecn.org
-+ Gitee Pages(国内): https://apachecn.gitee.io/sklearn-doc-zh
-
-> 第三方站长[网站]
-
-+ sklearn 中文文档: http://www.scikitlearn.com.cn
-+ 地址A: xxx (欢迎留言，我们完善补充)
-
-> 其他补充
-
-+ [官方Github](https://github.com/apachecn/scikit-learn-doc-zh)
-+ [EPUB 下载地址](https://github.com/apachecn/sklearn-doc-zh/raw/epub/sklearn_0.21.3_2019_12_13.epub)
-
-## 下载
-
-### Docker
-
-```
-docker pull apachecn0/sklearn-doc-zh
-docker run -tid -p <port>:80 apachecn0/sklearn-doc-zh
-# 访问 http://localhost:{port} 查看文档
-```
-
-### PYPI
-
-```
-pip install sklearn-doc-zh
-sklearn-doc-zh <port>
-# 访问 http://localhost:{port} 查看文档
-```
-
-### NPM
-
-```
-npm install -g sklearn-doc-zh
-sklearn-doc-zh <port>
-# 访问 http://localhost:{port} 查看文档
-```
-
-## 目录
-
-*   [安装 scikit-learn](docs/master/62.md)
-*   用户指南
-    *   [1. 监督学习](docs/master/1.md)
-        * [1.1. 广义线性模型](docs/master/2.md)
-        * [1.2. 线性和二次判别分析](docs/master/3.md)
-        * [1.3. 内核岭回归](docs/master/4.md)
-        * [1.4. 支持向量机](docs/master/5.md)
-        * [1.5. 随机梯度下降](docs/master/6.md)
-        * [1.6. 最近邻](docs/master/7.md)
-        * [1.7. 高斯过程](docs/master/8.md)
-        * [1.8. 交叉分解](docs/master/9.md)
-        * [1.9. 朴素贝叶斯](docs/master/10.md)
-        * [1.10. 决策树](docs/master/11.md)
-        * [1.11. 集成方法](docs/master/12.md)
-        * [1.12. 多类和多标签算法](docs/master/13.md)
-        * [1.13. 特征选择](docs/master/14.md)
-        * [1.14. 半监督学习](docs/master/15.md)
-        * [1.15. 等式回归](docs/master/16.md)
-        * [1.16. 概率校准](docs/master/17.md)
-        * [1.17. 神经网络模型（有监督）](docs/master/18.md)
-    *   [2. 无监督学习](docs/master/19.md)
-        * [2.1. 高斯混合模型](docs/master/20.md)
-        * [2.2. 流形学习](docs/master/21.md)
-        * [2.3. 聚类](docs/master/22.md)
-        * [2.4. 双聚类](docs/master/23.md)
-        * [2.5. 分解成分中的信号（矩阵分解问题）](docs/master/24.md)
-        * [2.6. 协方差估计](docs/master/25.md)
-        * [2.7. 新奇和异常值检测](docs/master/26.md)
-        * [2.8. 密度估计](docs/master/27.md)
-        * [2.9. 神经网络模型（无监督）](docs/master/28.md)
-    * [3. 模型选择和评估](docs/master/29.md)
-        * [3.1. 交叉验证：评估估算器的表现](docs/master/30.md)
-        * [3.2. 调整估计器的超参数](docs/master/31.md)
-        * [3.3. 模型评估: 量化预测的质量](docs/master/32.md)
-        * [3.4. 模型持久化](docs/master/33.md)
-        * [3.5. 验证曲线: 绘制分数以评估模型](docs/master/34.md)
-    * [4.  检验](docs/master/35.md)
-        * [4.1. 部分依赖图](docs/master/36.md)
-    * [5. 数据集转换](docs/master/37.md)
-        * [5.1. Pipeline（管道）和 FeatureUnion（特征联合）: 合并的评估器](docs/master/38.md)
-        * [5.2. 特征提取](docs/master/39.md)
-        * [5.3 预处理数据](docs/master/40.md)
-        * [5.4 缺失值插补](docs/master/41.md)
-        * [5.5. 无监督降维](docs/master/42.md)
-        * [5.6. 随机投影](docs/master/43.md)
-        * [5.7. 内核近似](docs/master/44.md)
-        * [5.8. 成对的矩阵, 类别和核函数](docs/master/45.md)
-        * [5.9. 预测目标 (`y`) 的转换](docs/master/46.md)
-    * [6. 数据集加载工具](docs/master/47.md)
-        * [6.1. 通用数据集 API](docs/master/47.md)
-        * [6.2. 玩具数据集](docs/master/47.md)
-        * [6.3 真实世界中的数据集](docs/master/47.md)
-        * [6.4. 样本生成器](docs/master/47.md)
-        * [6.5. 加载其他数据集](docs/master/47.md)
-    * [7. 使用scikit-learn计算](docs/master/48.md)
-        * [7.1. 大规模计算的策略: 更大量的数据](docs/master/48.md)
-        * [7.2. 计算性能](docs/master/48.md)
-        * [7.3. 并行性、资源管理和配置](docs/master/48.md)
-*   [教程](docs/master/50.md)
-    *   [使用 scikit-learn 介绍机器学习](docs/master/51.md)
-    *   [关于科学数据处理的统计学习教程](docs/master/52.md)
-        *   [机器学习: scikit-learn 中的设置以及预估对象](docs/master/53.md)
-        *   [监督学习：从高维观察预测输出变量](docs/master/54.md)
-        *   [模型选择：选择估计量及其参数](docs/master/55.md)
-        *   [无监督学习: 寻求数据表示](docs/master/56.md)
-        *   [把它们放在一起](docs/master/57.md)
-        *   [寻求帮助](docs/master/58.md)
-    *   [处理文本数据](docs/master/59.md)
-    *   [选择正确的评估器(estimator.md)](docs/master/60.md)
-    *   [外部资源，视频和谈话](docs/master/61.md)
-*   [API 参考](https://scikit-learn.org/stable/modules/classes.html)
-*   [常见问题](docs/master/63.md)
-*   [时光轴](docs/master/64.md)
-
-## 历史版本
-
-* [scikit-learn (sklearn) 0.19 官方文档中文版](https://github.com/apachecn/sklearn-doc-zh/tree/master/docs/0.19.x.zip)
-* [scikit-learn (sklearn) 0.18 官方文档中文版](http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030181)
-
-如何编译使用历史版本: 
-
-* 解压 `0.19.x.zip` 文件夹
-* 将 `master/img` 的图片资源, 复制到 `0.19.x` 里面去
-* gitbook 正常编译过程，可以使用 `sh run_website.sh`
-
-## 贡献指南
-
-项目当前处于校对阶段，请查看[贡献指南](CONTRIBUTING.md)，并在[整体进度](https://github.com/apachecn/sklearn-doc-zh/issues/352)中领取任务。
-
-> 请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）
-
-## 项目负责人
-
-格式: GitHub + QQ
-
-> 第一期 (2017-09-29)
-
-* [@那伊抹微笑](https://github.com/wangyangting)
-* [@片刻](https://github.com/jiangzhonglian)
-* [@小瑶](https://github.com/chenyyx)
-
-> 第二期 (2019-06-29)
-
-* [@N!no](https://github.com/lovelybuggies)：1352899627
-* [@mahaoyang](https://github.com/mahaoyang)：992635910
-* [@loopyme](https://github.com/loopyme)：3322728009
-* [飞龙](https://github.com/wizardforcel)：562826179
-* [片刻](https://github.com/jiangzhonglian)：529815144
-
--- 负责人要求: (欢迎一起为 `sklearn 中文版本` 做贡献)
-
-* 热爱开源，喜欢装逼
-* 长期使用 sklearn(至少0.5年) + 提交Pull Requests>=3
-* 能够有时间及时优化页面 bug 和用户 issues
-* 试用期: 2个月
-* 欢迎联系: [片刻](https://github.com/jiangzhonglian) 529815144
-
-## 贡献者
-
-[【0.19.X】贡献者名单](https://github.com/apachecn/sklearn-doc-zh/issues/354)
-
-## 建议反馈
-
-* 在我们的 [apachecn/pytorch-doc-zh](https://github.com/apachecn/sklearn-doc-zh) github 上提 issue.
-* 发邮件到 Email: `apachecn@163.com`.
-* 在我们的 [QQ群-搜索: 交流方式](https://github.com/apachecn/home) 中联系群主/管理员即可.
-
-## **项目协议**
-
-* **最近有很多人联系我们，关于内容授权问题！**
-* 开源是指知识应该重在传播和迭代（而不是禁止别人转载）
-* 不然你TM在GitHub开源，然后又说不让转载，你TM有病吧！
-* 禁止商业化，符合协议规范，备注地址来源，**重点: 不需要**发邮件给我们申请
-* ApacheCN 账号下没有协议的项目，一律视为 [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.zh)。
-
-温馨提示:
-
-* 对于个人想自己copy一份再更新的人
-* 我也是有这样的经历，但是这种激情维持不了几个月，就泄气了！
-* 不仅浪费了你的心血，还浪费了更多人看到你的翻译成果！很可惜！你觉得呢？
-* 个人的建议是: fork -> pull requests 到 `https://github.com/apachecn/sklearn-doc-zh`
-* 那为什么要选择 `ApacheCN` 呢？
-* 因为我们做翻译这事情是觉得开心和装逼，比较纯粹！
-* 你如果喜欢，你可以来参与/甚至负责这个项目，没有任何学历和背景的限制
-
-## 赞助我们
-
-<img src="http://data.apachecn.org/img/about/donate.jpg" alt="微信&支付宝" />

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