Update README.md

README.md

@@ -112,11 +112,11 @@ The databases (ml_100k, ml_1m and jester) are built-in the surprise package for
         self.df = pd.DataFrame(data.__dict__['raw_ratings'], columns=['user_id','item_id','rating','timestamp'])
         self.df.drop(columns=['timestamp'],inplace=True)
         self.df.rename({'user_id':'userID','item_id':'itemID'},axis=1,inplace=True)
-````
+```
 
 Hyperparameters -
-        n_users` : number of simulated users in the database;
-        n_ratings` : number of simulated rating events in the database.
+        n_users : number of simulated users in the database;
+        n_ratings : number of simulated rating events in the database.
         
         This is a fictional dataset based in the choice of an uniformly distributed random rating 
         (from 1 to 5) for one of the simulated users of the recommender-system that is being designed in