diff --git a/MachineLearning/2021-10-30_ML-Class-3/README.md b/MachineLearning/2021-10-30_ML-Class-3/README.md
index 542af4c..977fc35 100644
--- a/MachineLearning/2021-10-30_ML-Class-3/README.md
+++ b/MachineLearning/2021-10-30_ML-Class-3/README.md
@@ -11,10 +11,9 @@
 ## Logistic Regression
 
 - The notebook used to demonstrate the concepts in class have been uploaded in the repository folder.
-- If you want to dive deeper into the mathematics behind Linear Regression you can follow the course "Fundamentals of ML by Sanjay Dasgupta".
+- If you want to dive deeper into the mathematics behind Logistic Regression you can follow the course "Fundamentals of ML by Sanjay Dasgupta".
 
 
 ## Additional reading material
 
 - Video of 3blue1brown which gives an indepth explanation to gradient descent can be found [here](https://www.youtube.com/watch?v=IHZwWFHWa-w).
-- Python tutorial covering the prerequisites for attempting the notebook can be found [here](https://www.youtube.com/playlist?list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3) (videos 1-70)
diff --git a/README.md b/README.md
index 317a359..378c912 100644
--- a/README.md
+++ b/README.md
@@ -90,7 +90,7 @@ If you are a part of MNNIT join us on Microsoft Team [MNNIT CC Queries Official]
 - [Machine Learning classes](MachineLearning)
     - [Machine Learning Class-1](MachineLearning/2021-04-29_ML-Class-1)
     - [Machine Learning Class-2](MachineLearning/2021-05-03_ML-Class-2)
-    - [Machine Learning Class-2](MachineLearning/2021-10-30_ML-Class-3)
+    - [Machine Learning Class-3](MachineLearning/2021-10-30_ML-Class-3)
 
 - [Linux classes](Linux)
     - [Linux Class-1](Linux/2021_09_05_LinuxClass-1)