final NLP lesson, Learn collection link

6-NLP/README.md

@@ -16,8 +16,8 @@ In these lessons we'll learn the basics of NLP by building small conversational
 1. [Introduction to natural language processing](1-Introduction-to-NLP/README.md)
 2. [Common NLP tasks and techniques](2-Tasks/README.md)
 3. [Translation and sentiment analysis with machine learning](3-Translation-Sentiment/README.md)
-4. [NLTK for Sentiment Analysis](4-Hotel-Reviews-1/README.md)
-5. TBD
+4. [Preparing your data](4-Hotel-Reviews-1/README.md)
+5. [NLTK for Sentiment Analysis](5-Hotel-Reviews-2/README.md)
 
 ## Credits 
 

README.md

@@ -12,7 +12,7 @@
 
 > 🌍 Travel around the world as we explore Machine Learning by means of world cultures 🌍
 
-Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about traditional Machine Learning. In this lesson group, you will learn about what is sometimes called 'classic' ML, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming 'AI for Beginners' curriculum. Pair this curriculum with our forthcoming 'Data Science for Beginners' curriculum, as well!
+Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about **Machine Learning**. In this lesson group, you will learn about what is sometimes called **classic machine learning**, using primarily Scikit-learn as a library and avoiding deep learning, which is covered in our forthcoming 'AI for Beginners' curriculum. Pair this curriculum with our forthcoming 'Data Science for Beginners' curriculum, as well!
 
 Travel with us around the world as we apply these classic techniques to data from many areas of the world. Each lesson includes pre- and post-lesson quizzes, written instructions to complete the lesson, a solution, an assignment and more. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.
 
@@ -33,7 +33,7 @@ Travel with us around the world as we apply these classic techniques to data fro
 - Complete the challenge
 - Complete the assignment
 - Consider forming a study group with friends to go through the content together. 
-- For further study, we recommend following [Microsoft Learn](https://docs.microsoft.com?WT.mc_id=academic-15963-cxa) modules and learning paths.
+- For further study, we recommend following these [Microsoft Learn](https://docs.microsoft.com/en-us/users/jenlooper-2911/collections/k7o7tg1gp306q4?WT.mc_id=academic-15963-cxa) modules and learning paths.
 
 ---
 
@@ -52,7 +52,6 @@ We have chosen two pedagogical tenets while building this curriculum: ensuring t
 By ensuring that the content aligns with projects, the process is made more engaging for students and retention of concepts will be augmented. In addition, a low-stakes quiz before a class sets the intention of the student towards learning a topic, while a second quiz after class ensures further retention. This curriculum was designed to be flexible and fun and can be taken in whole or in part. The projects start small and become increasingly complex by the end of the 12 week cycle. This curriculum also includes a postscript on real-world applications of ML, which can be used as extra credit or as a basis for discussion.
 
 > Find our [Code of Conduct](CODE_OF_CONDUCT.md), [Contributing](CONTRIBUTING.md), and [Translation](TRANSLATIONS.md) guidelines. We welcome your constructive feedback!
->
 ## Each lesson includes:
 
 - optional sketchnote