From f099ce2fd02a1d064c443cd9b2a7dee4690afb8c Mon Sep 17 00:00:00 2001
From: Adrien <adrien.payen@student.uclouvain.be>
Date: Fri, 24 May 2024 22:29:44 +0200
Subject: [PATCH] update readme

---
 README.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 09d2ed8b..1af67a8d 100644
--- 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`
-- 
GitLab