diff --git a/1-Introduction/README.md b/1-Introduction/README.md
index 8c5ec3b0..b1943e47 100644
--- a/1-Introduction/README.md
+++ b/1-Introduction/README.md
@@ -10,7 +10,7 @@ In this section of the curriculum, you will be introduced to the base concepts u
 
 ### Credits
 
-"Introduction to Machine Learning" was written with ♥️ by a team of folks including Muhammad Sakib Khan Inan, [Ornella Altunyan](https://twitter.com/ornelladotcom) and [Jen Looper](https://twitter.com/jenlooper)
+"Introduction to Machine Learning" was written with ♥️ by a team of folks including [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan), [Ornella Altunyan](https://twitter.com/ornelladotcom) and [Jen Looper](https://twitter.com/jenlooper)
 
 "The History of Machine Learning" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper) and [Amy Boyd](https://twitter.com/AmyKateNicho)
 
diff --git a/2-Regression/README.md b/2-Regression/README.md
index 621a6f42..6a1f63f7 100644
--- a/2-Regression/README.md
+++ b/2-Regression/README.md
@@ -24,6 +24,6 @@ In this section, you will get set up to begin machine learning tasks, including
 
 "ML with Regression" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper)
 
-♥️ Quiz contributors include: Muhammad Sakib Khan Inan 
+♥️ Quiz contributors include: [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan) and [Ornella Altunyan](https://twitter.com/ornelladotcom)
 
 The pumpkin dataset is suggested by [this project on Kaggle](https://www.kaggle.com/usda/a-year-of-pumpkin-prices) and its data is sourced from the [Specialty Crops Terminal Markets Standard Reports](https://www.marketnews.usda.gov/mnp/fv-report-config-step1?type=termPrice) distributed by the United States Department of Agriculture. We have added some points around color based on variety to normalize the distribution. This data is in the public domain.
diff --git a/5-Clustering/README.md b/5-Clustering/README.md
index 3fc1b307..e7728629 100644
--- a/5-Clustering/README.md
+++ b/5-Clustering/README.md
@@ -17,7 +17,7 @@ In this series of lessons, you will discover new ways to analyze data using Clus
 2. [K-Means Clustering](2-K-Means/README.md)
 ## Credits
 
-These lessons were written with 🎶 by [Jen Looper](https://www.twitter.com/jenlooper) with helpful reviews by Rishit Dagli Muhammad Sakib Khan Inan.
+These lessons were written with 🎶 by [Jen Looper](https://www.twitter.com/jenlooper) with helpful reviews by [Rishit Dagli](https://rishit_dagli) and [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan).
 
 The [Nigerian Songs](https://www.kaggle.com/sootersaalu/nigerian-songs-spotify) dataset was sourced from Kaggle as scraped from Spotify.
 
diff --git a/README.md b/README.md
index 87e5ef6f..e0b189be 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ Travel with us around the world as we apply these classic techniques to data fro
 
 **🎨 Thanks as well to our illustrators** Tomomi Imura, Dasani Madipalli, and Jen Looper
 
- **🙏 Special thanks 🙏 to our Microsoft Student Ambassador reviewers and content contributors**, notably Rishit Dagli, Muhammad Sakib Khan Inan, Rohan Raj, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, and Snigdha Agarwal
+ **🙏 Special thanks 🙏 to our Microsoft Student Ambassador authors, reviewers and content contributors**, notably Rishit Dagli, Muhammad Sakib Khan Inan, Rohan Raj, Alexandru Petrescu, Abhishek Jaiswal, Nawrin Tabassum, Ioan Samuila, and Snigdha Agarwal
  
 # Getting Started