diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -97,14 +97,15 @@ Converts the predictions into a DataFrame and saves them as a CSV file.
 It then calls this function with specific parameters and prints the generated predictions.
 
 2. #### ***content_based.ipynb***
-1. ***Feature Extraction Methods***
+
+2.1. ***Feature Extraction Methods***
 The system supports the following feature extraction methods:
 - `genre`: Extracts genres of the movies using TF-IDF vectorization.
 - `movie_year`: Extracts the release year of the movies.
 - `avg_rating`: Computes the average rating for each movie.
 - `title_length`: Computes the length of the movie title.
 
-2. ***Regression Models***
+2.2. ***Regression Models***
 The system supports the following regression models for predicting user ratings:
 
 - `linear_regression`