Update README.md

README.md

@@ -20,14 +20,7 @@ import pandas as pd
 from sklearn.svm import SVC
 ```
 
-2. File Description
-- config.json: Configuration file for model and dataset parameters.
-- ml.py: Python script containing the machine learning pipeline.
-- model.pkl: Trained SVM model saved as a pickle file.
-- tfidf.pkl: TF-IDF vectorizer saved as a pickle file.
-- README.md: Documentation for the repository.
-
-3. Data Cleaning
+2. Data Cleaning
 <br> The clean() function performs data preprocessing to prepare the input data for training. This includes:
 - Removing HTML tags using BeautifulSoup.
 - Removing non-alphanumeric characters and extra spaces.
@@ -37,10 +30,10 @@ from sklearn.svm import SVC
 
 
 ```python
-from clean_data import clean
+from data_cleaning import clean
 
 # Load your data
-df = pd.read_csv('your_dataset.csv')
+df = pd.read_csv('test_data_random_subset.csv')
 
 # Clean the data
 cleaned_df = clean(df)