Update README.md

Author: LiYangHart

README.md

@@ -12,7 +12,7 @@ This paper and code will help industrial users, data analysts, and researchers t
 **Section 3**: Important hyper-parameters of common machine learning algorithms  
 **Section 4**: Hyper-parameter optimization techniques introduction  
 **Section 5**: How to choose optimization techniques for different machine learning models  
-**Section 6**: Common Python libraries/tools for hyper-parameter optimization 
+**Section 6**: Common Python libraries/tools for hyper-parameter optimization  
 **Section 7**: Experimental results (sample code in "HPO_Regression.ipynb" and "HPO_Classification.ipynb")  
 **Section 8**: Open challenges and future research directions  
 **Summary table for Sections 3-6**: Table 2:  A comprehensive overview of common ML models, their hyper-parameters, suitable optimization techniques, and available Python libraries