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* Update README.zh-cn.md * Update README.zh-cn.md * Update README.ru.md * Update README.ko.md * Update README.it.md * Update README.fr.md * Update README.hi.md * Update README.md
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diff --git a/7-TimeSeries/README.md b/7-TimeSeries/README.md
@@ -10,7 +10,7 @@ Our regional focus is electrical usage in the world, an interesting dataset to l
 
 ![electric grid](images/electric-grid.jpg)
 
-Photo by <a href="https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Peddi Sai hrithik</a> of electrical towers on a road in Rajasthan on <a href="https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
+Photo by [Peddi Sai hrithik](https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) of electrical towers on a road in Rajasthan on [Unsplash](https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)
 
 ## Lessons
 

diff --git a/7-TimeSeries/translations/README.fr.md b/7-TimeSeries/translations/README.fr.md
@@ -10,7 +10,7 @@ Nous nous concentrons sur l'utilisation de l'électricité dans le monde, un ens
 
 ![réseau électrique](../images/electric-grid.jpg)
 
-Photo par <a href="https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Peddi Sai hrithik</a> de poteaux électriques sur une route au Rajasthan, sur <a href="https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
+Photo par [Peddi Sai hrithik](https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) de poteaux électriques sur une route au Rajasthan, sur [Unsplash](https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)
 
 ## Leçons
 

diff --git a/7-TimeSeries/translations/README.hi.md b/7-TimeSeries/translations/README.hi.md
@@ -10,7 +10,7 @@
 
 ![विद्युत ग्रिड](../images/electric-grid.jpg)
 
-> राजस्थान में एक सड़क पर बिजली के टावरों का  <a href="https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">पेड्डी साई ऋतिक (Peddi Sai hrithik)</a> द्वारा Unsplash <a href="https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">अनस्प्लैश (Unsplash)</a> पर चित्र
+> राजस्थान में एक सड़क पर बिजली के टावरों का  [पेड्डी साई ऋतिक (Peddi Sai hrithik)](https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) द्वारा Unsplash [अनस्प्लैश (Unsplash)](https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) पर चित्र
   
 
 ## पाठ
@@ -21,4 +21,4 @@
 
 ## श्रेय
 
-"समय श्रृंखला पूर्वानुमान से परिचय" ⚡️ के साथ [फ्रैंचेस्का लज़ैरी (Francesca Lazzeri)](https://twitter.com/frlazzeri) और [जेन लूपर (Jen Looper)](https://twitter.com/jenlooper) द्वारा लिखा गया था। नोटबुकें पहली बार [अज़ौर "डीप लर्निंग फॉर टाइम सीरीज़" रिपॉजिटरी (Azure "Deep Learning For Time Series" repository)](https://github.com/Azure/DeepLearningForTimeSeriesForecasting) में ऑनलाइन दिखाई दी, जिसे मूल रूप से फ्रैंचेस्का लज़ैरी (Francesca Lazzeri) ने लिखा था। एस. वी. आर. (SVR) पाठ [अनिर्बान मुखर्जी (Anirban Mukherjee)](https://github.com/AnirbanMukherjeeXD) द्वारा लिखा गया था।
+"समय श्रृंखला पूर्वानुमान से परिचय" ⚡️ के साथ [फ्रैंचेस्का लज़ैरी (Francesca Lazzeri)](https://twitter.com/frlazzeri) और [जेन लूपर (Jen Looper)](https://twitter.com/jenlooper) द्वारा लिखा गया था। नोटबुकें पहली बार [अज़ौर "डीप लर्निंग फॉर टाइम सीरीज़" रिपॉजिटरी (Azure "Deep Learning For Time Series" repository)](https://github.com/Azure/DeepLearningForTimeSeriesForecasting) में ऑनलाइन दिखाई दी, जिसे मूल रूप से फ्रैंचेस्का लज़ैरी (Francesca Lazzeri) ने लिखा था। एस. वी. आर. (SVR) पाठ [अनिर्बान मुखर्जी (Anirban Mukherjee)](https://github.com/AnirbanMukherjeeXD) द्वारा लिखा गया था।
diff --git a/7-TimeSeries/translations/README.it.md b/7-TimeSeries/translations/README.it.md
@@ -10,7 +10,7 @@ L'obiettivo regionale è l'utilizzo elettrico nel mondo, un interessante insieme
 
 ![rete elettrica](../images/electric-grid.jpg)
 
-Foto di <a href="https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Peddi Sai hrithik</a> di torri elettriche su una strada in Rajasthan su <a href="https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
+Foto di [Peddi Sai hrithik](https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) di torri elettriche su una strada in Rajasthan su [Unsplash](https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)
 
 ## Lezioni
 

diff --git a/7-TimeSeries/translations/README.ko.md b/7-TimeSeries/translations/README.ko.md
@@ -10,7 +10,7 @@ time series forecasting은 무엇인가요? 과거의 트렌드로 분석해서
 
 ![electric grid](../images/electric-grid.jpg)
 
-Photo by <a href="https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Peddi Sai hrithik</a> of electrical towers on a road in Rajasthan on <a href="https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
+Photo by [Peddi Sai hrithik](https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) of electrical towers on a road in Rajasthan on [Unsplash](https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)
 
 ## 강의
 

diff --git a/7-TimeSeries/translations/README.ru.md b/7-TimeSeries/translations/README.ru.md
@@ -10,7 +10,7 @@
 
 ![электрическая сеть](../images/electric-grid.jpg)
 
-Автор фотографии <a href="https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Педди Саи Хритика</a> электрических башен на дороге в Раджастане на <a href="https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
+Автор фотографии [Педди Саи Хритика](https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) электрических башен на дороге в Раджастане на [Unsplash](https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)
 
 ## Уроки
 

diff --git a/7-TimeSeries/translations/README.zh-cn.md b/7-TimeSeries/translations/README.zh-cn.md
@@ -1,6 +1,6 @@
 # 时间序列预测简介
 
-什么是时间序列预测？它通过分析过去的趋势来预测未来的事件。
+什么是时间序列预测？它就是通过分析过去的趋势来预测未来的事件。
 
 ## 区域主题：全球用电量✨
 
@@ -10,15 +10,17 @@
 
 ![电网](../images/electric-grid.jpg)
 
-<a href="https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Peddi Sai hrithik</a> 摄于 <a href="https: //unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
+> [Peddi Sai hrithik](https://unsplash.com/@shutter_log?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) 摄于 [Unsplash](https://unsplash.com/s/photos/electric-india?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) 。
 
 ## 课程
 
-1.【时间序列预测介绍】(../1-Introduction/README.md)
-2.【构建 ARIMA 时间序列模型】(../2-ARIMA/README.md)
-3.【构建支持向量回归器的时间序列预测】(../3-SVR/README.md)
+1. [时间序列预测介绍](../1-Introduction/README.md)
+2. [构建 ARIMA 时间序列模型](../2-ARIMA/README.md)
+3. [构建支持向量回归器的时间序列预测](../3-SVR/README.md)
 
 ## 作者
 
-“时间序列预测简介” 由 [Francesca Lazzeri](https://twitter.com/frlazzeri) 和 [Jen Looper](https://twitter.com/jenlooper) 用 ⚡️ 编写。笔记本首先出现在 [Azure“时间序列深度学习”存储库](https://github.com/Azure/DeepLearningForTimeSeriesForecasting) 最初由 Francesca Lazzeri 编写。SVR 课由 [Anirban Mukherjee](https://github.com/AnibanMukherjeeXD) 编写
+“时间序列预测简介” 由 [Francesca Lazzeri](https://twitter.com/frlazzeri) 和 [Jen Looper](https://twitter.com/jenlooper) 用 ⚡️ 编写。
+
+笔记本首先出现在 [Azure “时间序列深度学习”存储库](https://github.com/Azure/DeepLearningForTimeSeriesForecasting) 最初由 Francesca Lazzeri 编写。SVR 课由 [Anirban Mukherjee](https://github.com/AnibanMukherjeeXD) 编写。
 
diff --git a/9-Real-World/translations/README.zh-cn.md b/9-Real-World/translations/README.zh-cn.md
@@ -1,4 +1,4 @@
-# 附言: 经典机器学习在现实生活中的应用
+# 附言：经典机器学习在现实生活中的应用
 
 在课程的这一章节中，你将会了解一些经典机器学习的现实应用。我们在网络上找遍了涉及课程中这些技术的应用的白皮书和文章，从中尽力排除了神经网络、深度学习和AI。让我们一起来探索机器学习是如何被应用在商业系统、生态应用、金融、艺术文化和其他领域中吧。