diff --git a/Machine Learning for Economics and Finance/README.md b/Machine Learning for Economics and Finance/README.md
index 532aedd..60f404e 100644
--- a/Machine Learning for Economics and Finance/README.md	
+++ b/Machine Learning for Economics and Finance/README.md	
@@ -1,5 +1,6 @@
 # Introduction
-This project contains material to the university introduction course "Machine Learning for Economics and Finance".
+This repository contains materials designed to complement the university course "Machine Learning for Economics and Finance." The content is based on the foundational work by James, G., Witten, D., Hastie, T., and Tibshirani, R. in their book "An Introduction to Statistical Learning."
+These materials have been adapted by Prof. Dr. Ole Wilms to fit the course requirements and further transformed and expanded by me from R to Python. I have also introduced additional topics, including an introduction to Python, optimal data handling techniques—from loading and cleaning datasets to final evaluations—ensuring students are well-equipped for practical applications in future semesters.
 
 **Git clone**:<br>
 `git clone https://gitea.weseng.de/mwio/econometrics-and-machine-learning.git`
@@ -16,12 +17,14 @@ This project contains material to the university introduction course "Machine Le
   - Logistic Regression
 - Cross Validation
   - K-fold Cross-validation
+- *Problem Set 1*
 - Subset Selection & Shrinkage
   - Lasso Regression, Ridge Regression
 - Tree-Based Methods
   - Classification Trees
   - Bagging, Boosting
   - Random Forest
+- *Problem Set 2*
 - Deep Learnin
   - Neural Networks