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@@ -5,7 +5,7 @@ This repository is dedicated to my trajectory in the area of Classical Machine L
 I like studyng with online couse, i think this hel a lote whend you need a diretion in you study or whend you is a begining
 I like studying online, I think it helps a lot when you need guidance in your studies or when you're starting out. These are the main sources I used: 
 
-* #1 - Starting from data analysis ([IBM course](https://www.coursera.org/learn/data-analysis-with-python)).
+* #1 - Starting from data analysis.
 
   This course covers everything from the fundamentals of data analysis with Python to the creation and evaluation of data models.
   
@@ -19,7 +19,7 @@ I like studying online, I think it helps a lot when you need guidance in your st
   - creating data pipelines.
 
   > Link: [IBM course](https://www.coursera.org/learn/data-analysis-with-python)
-* #2 - Going through a basic and general study of ML .
+* #2 - [Going through a basic and general study of ML](https://github.com/GubioGL/Phd_ML/blob/main/%232/%232.html) .
 
   This course will begin with a brief introduction to Machine Learning and what it is, with topics such as supervised and unsupervised learning, linear and nonlinear regression, simple regression, and more.