Update README.md

Updating ReadMe file

Author: FarooqMS

README.md

@@ -1,15 +1,20 @@
 SMS Spam Text Classifier
-Overview
+
+**Overview**
+
 This project implements a machine learning-based SMS spam detection system. It classifies incoming text messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and supervised learning algorithms.
-Features
 
-Preprocessing of SMS text (tokenization, stopword removal, stemming)
-Feature extraction using TF-IDF or Bag of Words
-Model training with algorithms like Naive Bayes, Logistic Regression, or SVM
-Evaluation metrics: Accuracy, Precision, Recall, F1-score
-Easy-to-use script for predictions on new messages
+**Features**
+
+* Preprocessing of SMS text (tokenization, stopword removal, stemming)
+* Feature extraction using TF-IDF or Bag of Words
+* Model training with algorithms like Naive Bayes, Logistic Regression, or SVM
+* Evaluation metrics: Accuracy, Precision, Recall, F1-score
+* Easy-to-use script for predictions on new messages
 
-Project Structure
+
+**Project Structure**
+```
 SMSSpamTextClassifier/
 │
 ├── data/                # Dataset (e.g., SMS Spam Collection)
@@ -18,18 +23,26 @@ SMSSpamTextClassifier/
 ├── models/              # Saved trained models
 ├── requirements.txt     # Python dependencies
 └── README.md            # Project documentation
+```
 
-Installation
+**Installation**
 
 Clone the repository:
-Shellgit clone https://github.com/Mulla6518/SMSSpamTextClassifier.gitcd SMSSpamTextClassifierShow more lines
-
+```
+git clone https://github.com/Mulla6518/SMSSpamTextClassifier.git
+```
+Install dependencies:
+```
+python 3
+```
+
+Usage
 Train the model:
-Shell python script.py --data spam.csv
-
 
-Dataset
-Uses the SMS Spam Collection Dataset.
+Predict a message:
+```
+python script.py --data spam.csv
+```
 
-License
+**License**
 This project is licensed under the MIT License.