From ac061faf5fdf6e409e94b2da01bfc0beb825fa29 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 20:40:40 +0800
Subject: [PATCH 01/11] Add files via upload
---
2-Regression/translations/Readme.zh-cn.md | 34 +++++++++++++++++++++++
1 file changed, 34 insertions(+)
create mode 100644 2-Regression/translations/Readme.zh-cn.md
diff --git a/2-Regression/translations/Readme.zh-cn.md b/2-Regression/translations/Readme.zh-cn.md
new file mode 100644
index 00000000..853c73b5
--- /dev/null
+++ b/2-Regression/translations/Readme.zh-cn.md
@@ -0,0 +1,34 @@
+# 机器学习中的回归模型
+## 本节主题: 北美南瓜价格的回归模型 🎃
+
+在北美,南瓜经常在万圣节被刻上吓人的鬼脸。让我们来深入研究一下这种奇妙的蔬菜
+
+![jack-o-lanterns](./images/jack-o-lanterns.jpg)
+> Photo by Beth Teutschmann on Unsplash
+
+##你会学到什么
+
+这节的课程包括机器学习领域中的多种回归模型。回归模型可以明确多种变量间的_关系_。这种模型可以用来预测类似长度、温度和年龄之类的值, 通过分析数据点来揭示变量之间的关系。
+
+在本节的一系列课程中,你会学到线性回归和逻辑回归之间的区别,并且你将知道对于特定问题如何在这两种模型中进行选择
+
+在这组课程中,你会准备好包括为管理笔记而设置VS Code、配置数据科学家常用的环境等机器学习的初始任务。你会开始上手Scikit-learn学习项目(一个机器学习的百科),并且你会以回归模型为主构建起你的第一种机器学习模型
+
+> 这里有一些代码难度较低但很有用的工具可以帮助你学习使用回归模型。 试一下 [Azure ML for this task](https://docs.microsoft.com/learn/modules/create-regression-model-azure-machine-learning-designer/?WT.mc_id=academic-15963-cxa)
+
+
+### Lessons
+
+1. [交易的工具](1-Tools/README.md)
+2. [管理数据](2-Data/README.md)
+3. [线性和多项式回归](3-Linear/README.md)
+4. [逻辑回归](4-Logistic/README.md)
+
+---
+### Credits
+
+"机器学习中的回归" 由[Jen Looper](https://twitter.com/jenlooper)♥️ 撰写
+
+♥️ 测试的贡献者: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) 和 [Ornella Altunyan](https://twitter.com/ornelladotcom)
+
+南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类
\ No newline at end of file
From aa5048fb0e5dba984d5f7bd949301b3031d513e2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 21:04:12 +0800
Subject: [PATCH 02/11] Update Readme.zh-cn.md
---
2-Regression/translations/Readme.zh-cn.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/2-Regression/translations/Readme.zh-cn.md b/2-Regression/translations/Readme.zh-cn.md
index 853c73b5..ee1243a2 100644
--- a/2-Regression/translations/Readme.zh-cn.md
+++ b/2-Regression/translations/Readme.zh-cn.md
@@ -31,4 +31,4 @@
♥️ 测试的贡献者: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) 和 [Ornella Altunyan](https://twitter.com/ornelladotcom)
-南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类
\ No newline at end of file
+南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类添加了围绕颜色的一些数据点。这些数据处在公共的域名上。
From 10a7a93f1d050f22fcb63c8b4f93c29baddab0d0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 21:12:46 +0800
Subject: [PATCH 03/11] Add files via upload
---
2-Regression/translations/Readme.zh-cn.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/2-Regression/translations/Readme.zh-cn.md b/2-Regression/translations/Readme.zh-cn.md
index ee1243a2..81c2c9d4 100644
--- a/2-Regression/translations/Readme.zh-cn.md
+++ b/2-Regression/translations/Readme.zh-cn.md
@@ -31,4 +31,4 @@
♥️ 测试的贡献者: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) 和 [Ornella Altunyan](https://twitter.com/ornelladotcom)
-南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类添加了围绕颜色的一些数据点。这些数据处在公共的域名上。
+南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类添加了围绕颜色的一些数据点。这些数据处在公共的域名上。
\ No newline at end of file
From 11567b58cc5f88bfcd1fca645c1cc83fab48a8e9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 21:13:48 +0800
Subject: [PATCH 04/11] Add files via upload
---
2-Regression/Readme.zh-cn.md | 34 ++++++++++++++++++++++++++++++++++
1 file changed, 34 insertions(+)
create mode 100644 2-Regression/Readme.zh-cn.md
diff --git a/2-Regression/Readme.zh-cn.md b/2-Regression/Readme.zh-cn.md
new file mode 100644
index 00000000..4972c594
--- /dev/null
+++ b/2-Regression/Readme.zh-cn.md
@@ -0,0 +1,34 @@
+# 机器学习中的回归模型
+## 本节主题: 北美南瓜价格的回归模型 🎃
+
+在北美,南瓜经常在万圣节被刻上吓人的鬼脸。让我们来深入研究一下这种奇妙的蔬菜
+
+![jack-o-lanterns](../images/jack-o-lanterns.jpg)
+> Photo by Beth Teutschmann on Unsplash
+
+##你会学到什么
+
+这节的课程包括机器学习领域中的多种回归模型。回归模型可以明确多种变量间的_关系_。这种模型可以用来预测类似长度、温度和年龄之类的值, 通过分析数据点来揭示变量之间的关系。
+
+在本节的一系列课程中,你会学到线性回归和逻辑回归之间的区别,并且你将知道对于特定问题如何在这两种模型中进行选择
+
+在这组课程中,你会准备好包括为管理笔记而设置VS Code、配置数据科学家常用的环境等机器学习的初始任务。你会开始上手Scikit-learn学习项目(一个机器学习的百科),并且你会以回归模型为主构建起你的第一种机器学习模型
+
+> 这里有一些代码难度较低但很有用的工具可以帮助你学习使用回归模型。 试一下 [Azure ML for this task](https://docs.microsoft.com/learn/modules/create-regression-model-azure-machine-learning-designer/?WT.mc_id=academic-15963-cxa)
+
+
+### Lessons
+
+1. [交易的工具](1-Tools/README.md)
+2. [管理数据](2-Data/README.md)
+3. [线性和多项式回归](3-Linear/README.md)
+4. [逻辑回归](4-Logistic/README.md)
+
+---
+### Credits
+
+"机器学习中的回归" 由[Jen Looper](https://twitter.com/jenlooper)♥️ 撰写
+
+♥️ 测试的贡献者: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) 和 [Ornella Altunyan](https://twitter.com/ornelladotcom)
+
+南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类添加了围绕颜色的一些数据点。这些数据处在公共的域名上。
\ No newline at end of file
From 7d9da49081ce7960872e84820c3adc205daa3b39 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 21:15:26 +0800
Subject: [PATCH 05/11] Delete Readme.zh-cn.md
---
2-Regression/Readme.zh-cn.md | 34 ----------------------------------
1 file changed, 34 deletions(-)
delete mode 100644 2-Regression/Readme.zh-cn.md
diff --git a/2-Regression/Readme.zh-cn.md b/2-Regression/Readme.zh-cn.md
deleted file mode 100644
index 4972c594..00000000
--- a/2-Regression/Readme.zh-cn.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# 机器学习中的回归模型
-## 本节主题: 北美南瓜价格的回归模型 🎃
-
-在北美,南瓜经常在万圣节被刻上吓人的鬼脸。让我们来深入研究一下这种奇妙的蔬菜
-
-![jack-o-lanterns](../images/jack-o-lanterns.jpg)
-> Photo by Beth Teutschmann on Unsplash
-
-##你会学到什么
-
-这节的课程包括机器学习领域中的多种回归模型。回归模型可以明确多种变量间的_关系_。这种模型可以用来预测类似长度、温度和年龄之类的值, 通过分析数据点来揭示变量之间的关系。
-
-在本节的一系列课程中,你会学到线性回归和逻辑回归之间的区别,并且你将知道对于特定问题如何在这两种模型中进行选择
-
-在这组课程中,你会准备好包括为管理笔记而设置VS Code、配置数据科学家常用的环境等机器学习的初始任务。你会开始上手Scikit-learn学习项目(一个机器学习的百科),并且你会以回归模型为主构建起你的第一种机器学习模型
-
-> 这里有一些代码难度较低但很有用的工具可以帮助你学习使用回归模型。 试一下 [Azure ML for this task](https://docs.microsoft.com/learn/modules/create-regression-model-azure-machine-learning-designer/?WT.mc_id=academic-15963-cxa)
-
-
-### Lessons
-
-1. [交易的工具](1-Tools/README.md)
-2. [管理数据](2-Data/README.md)
-3. [线性和多项式回归](3-Linear/README.md)
-4. [逻辑回归](4-Logistic/README.md)
-
----
-### Credits
-
-"机器学习中的回归" 由[Jen Looper](https://twitter.com/jenlooper)♥️ 撰写
-
-♥️ 测试的贡献者: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) 和 [Ornella Altunyan](https://twitter.com/ornelladotcom)
-
-南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类添加了围绕颜色的一些数据点。这些数据处在公共的域名上。
\ No newline at end of file
From f9f69077acc76f317c8c3ce3aa0e5837ccb2dc40 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 21:16:48 +0800
Subject: [PATCH 06/11] Add files via upload
---
2-Regression/translations/Readme.zh-cn.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/2-Regression/translations/Readme.zh-cn.md b/2-Regression/translations/Readme.zh-cn.md
index 81c2c9d4..3802d540 100644
--- a/2-Regression/translations/Readme.zh-cn.md
+++ b/2-Regression/translations/Readme.zh-cn.md
@@ -3,8 +3,8 @@
在北美,南瓜经常在万圣节被刻上吓人的鬼脸。让我们来深入研究一下这种奇妙的蔬菜
-![jack-o-lanterns](./images/jack-o-lanterns.jpg)
-> Photo by Beth Teutschmann on Unsplash
+![jack-o-lantern](../images/jack-o-lanterns.jpg)
+> Foto oleh Beth Teutschmann di Unsplash
##你会学到什么
From c53bc86acdbfe218775faf6bf61903b216d9ba24 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 23:37:01 +0800
Subject: [PATCH 07/11] Rename Readme.zh-cn.md to Readme.zh-ch.md
---
2-Regression/translations/{Readme.zh-cn.md => Readme.zh-ch.md} | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
rename 2-Regression/translations/{Readme.zh-cn.md => Readme.zh-ch.md} (98%)
diff --git a/2-Regression/translations/Readme.zh-cn.md b/2-Regression/translations/Readme.zh-ch.md
similarity index 98%
rename from 2-Regression/translations/Readme.zh-cn.md
rename to 2-Regression/translations/Readme.zh-ch.md
index 3802d540..f25a542a 100644
--- a/2-Regression/translations/Readme.zh-cn.md
+++ b/2-Regression/translations/Readme.zh-ch.md
@@ -31,4 +31,4 @@
♥️ 测试的贡献者: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) 和 [Ornella Altunyan](https://twitter.com/ornelladotcom)
-南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类添加了围绕颜色的一些数据点。这些数据处在公共的域名上。
\ No newline at end of file
+南瓜数据集受此启发 [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) 并且其数据源自 [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) 由美国农业部上传分享。我们根据种类添加了围绕颜色的一些数据点。这些数据处在公共的域名上。
From 95aa36df517eff69aabc23a583e384ffced6708d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 23:38:15 +0800
Subject: [PATCH 08/11] Update Readme.zh-ch.md
---
2-Regression/translations/Readme.zh-ch.md | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/2-Regression/translations/Readme.zh-ch.md b/2-Regression/translations/Readme.zh-ch.md
index f25a542a..7ce096c3 100644
--- a/2-Regression/translations/Readme.zh-ch.md
+++ b/2-Regression/translations/Readme.zh-ch.md
@@ -19,10 +19,10 @@
### Lessons
-1. [交易的工具](1-Tools/README.md)
-2. [管理数据](2-Data/README.md)
-3. [线性和多项式回归](3-Linear/README.md)
-4. [逻辑回归](4-Logistic/README.md)
+1. [交易的工具](../1-Tools/README.md)
+2. [管理数据](../2-Data/README.md)
+3. [线性和多项式回归](../3-Linear/README.md)
+4. [逻辑回归](../4-Logistic/README.md)
---
### Credits
From 50a94e9ed8622fd6eb52489db602d710ba822f43 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 23:44:01 +0800
Subject: [PATCH 09/11] Rename Readme.zh-ch.md to README.zh-ch.md
---
2-Regression/translations/{Readme.zh-ch.md => README.zh-ch.md} | 0
1 file changed, 0 insertions(+), 0 deletions(-)
rename 2-Regression/translations/{Readme.zh-ch.md => README.zh-ch.md} (100%)
diff --git a/2-Regression/translations/Readme.zh-ch.md b/2-Regression/translations/README.zh-ch.md
similarity index 100%
rename from 2-Regression/translations/Readme.zh-ch.md
rename to 2-Regression/translations/README.zh-ch.md
From c2f2beed8e8bcbfbfb006dfc62322a54223c39d5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Wed, 14 Jul 2021 23:50:08 +0800
Subject: [PATCH 10/11] Update README.zh-ch.md
---
2-Regression/translations/README.zh-ch.md | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/2-Regression/translations/README.zh-ch.md b/2-Regression/translations/README.zh-ch.md
index 7ce096c3..24c7a26c 100644
--- a/2-Regression/translations/README.zh-ch.md
+++ b/2-Regression/translations/README.zh-ch.md
@@ -19,10 +19,10 @@
### Lessons
-1. [交易的工具](../1-Tools/README.md)
-2. [管理数据](../2-Data/README.md)
-3. [线性和多项式回归](../3-Linear/README.md)
-4. [逻辑回归](../4-Logistic/README.md)
+1. [交易的工具](../1-Tools/translations/README.zh-cn.md)
+2. [管理数据](../2-Data/translations/README.zh-cn.md)
+3. [线性和多项式回归](../3-Linear/translations/README.zh-cn.md)
+4. [逻辑回归](../4-Logistic/translations/README.zh-cn.md)
---
### Credits
From 38c3dfa0c332e03c8e4cefb52c7af5c014b9237e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=96=87=E4=BD=93=E4=B8=A4=E5=BC=80=E8=8A=B1=E7=94=9F?=
<56857145+loap-a@users.noreply.github.com>
Date: Thu, 15 Jul 2021 01:19:49 +0800
Subject: [PATCH 11/11] rename
---
2-Regression/translations/{README.zh-ch.md => README.zh-cn.md} | 0
1 file changed, 0 insertions(+), 0 deletions(-)
rename 2-Regression/translations/{README.zh-ch.md => README.zh-cn.md} (100%)
diff --git a/2-Regression/translations/README.zh-ch.md b/2-Regression/translations/README.zh-cn.md
similarity index 100%
rename from 2-Regression/translations/README.zh-ch.md
rename to 2-Regression/translations/README.zh-cn.md