Update README.md

README.md

@@ -72,9 +72,9 @@ This chapter describes how the requests described in the file 'material/sas-ws-2
 
 2. See the Wiki (link above).
 
-3. See **Wiki chapter: User Personas** for personas like Kwame, Kritika, and Joshua.
+3. See **Wiki chapter: User Personas**.
 
-4. See **Wiki chapter: Use Cases** for job search tips, remote-friendly jobs, and academic-to-industry transitions.
+4. See **Wiki chapter: Use Cases**.
 
 5.-7. The files are stored in the project root directory including the `venv`.
 
@@ -82,15 +82,15 @@ This chapter describes how the requests described in the file 'material/sas-ws-2
 
 9. Data is loaded in the **app.py** and used across the app.
 
-10. See **app_pages/data_analysis.py** for data insights.
+10. See **app_pages/data_analysis.py**.
 
 11-13. See **data chapter** in the Wiki for job distribution and salary analysis.
 
 14. Data augmentation widgets are implemented in **app_pages/data_analysis.py**.
 
-15. Input widgets for model training are primarily in **app_pages/model_training.py**.
+15. Input widgets for model training are primarily in **app_pages/data_analysis.py**.
 
-16. Scikit-Learn models (Random Forest and Logistic Regression) are implemented for job category prediction in **05_Model_Training.py**.
+16. Scikit-Learn models (Random Forest and Logistic Regression) are implemented for job category prediction in **app_pages/model_training.py**.
 
 17. The "right fit" for chatbot use cases is discussed in the **Wiki chapter: Chatbot Argument**.