update readme

README.md

@@ -110,21 +110,19 @@ Loading data, generating evaluation reports for different models, and saving exp
 
 ###  Hackathon_make_predictions.ipynb
 
-It defines a function make_hackathon_prediction that takes feature_method and regressor_method as input.
+Define a function make_hackathon_prediction that takes feature_method and regressor_method as input.
 
 Inside this function:
 
-- It loads the training data and converts it into the format suitable for Surprise.
-- Trains a Content-Based model (ContentBased) on the training set using the specified feature and regressor methods.
-- Makes predictions on the test set by loading the test data from a CSV file and converting it into records.
+- Load the training data and converts it into the format suitable for Surprise.
+- Train a Content-Based model (ContentBased) on the training set using the specified feature and regressor methods.
+- Make predictions on the test set by loading the test data from a CSV file and converting it into records.
 
 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.
 
 
-
-
 ### Dataset
 Organized under the data/test/ directory, which contains three subdirectories:
 - content: Contains movies.csv & tags.csv files.