Updated README.md

Author: nilkanth02

README.md

@@ -18,16 +18,21 @@ FunStrings is a comprehensive Python package that provides a wide range of funct
   - [Text Analysis Functions](#text-analysis-functions)
   - [String Transformation Functions](#string-transformation-functions)
   - [Pattern-based Functions](#pattern-based-functions)
+  - [Data Cleaning Functions](#data-cleaning-functions)
+  - [Text Analysis Helpers](#text-analysis-helpers)
+  - [ML/NLP Preprocessing](#mlnlp-preprocessing)
+  - [Validation Functions](#validation-functions)
 - [Installation](#installation)
 - [Quick Start](#quick-start)
 - [Documentation](#documentation)
 - [For Students and Educators](#for-students-and-educators)
 - [Contributing](#contributing)
 - [License](#license)
+- [Connect](#connect)
 
 ## Features
 
-FunStrings includes 24 utility functions organized into four categories:
+FunStrings includes 44 utility functions organized into eight categories:
 
 ### Basic String Operations
 - **Reverse String:** Return the reversed string
@@ -60,6 +65,33 @@ FunStrings includes 24 utility functions organized into four categories:
 - **Mask Sensitive:** Mask all but last n chars with '*'
 - **Find Repeated Words:** Find all repeated words in text
 
+### Data Cleaning Functions
+- **Remove HTML Tags:** Strip all HTML tags from text
+- **Remove Emojis:** Remove emojis from text
+- **Remove Special Characters:** Keep only letters and numbers
+- **Expand Contractions:** Convert "don't" → "do not"
+- **Correct Whitespace:** Remove weird spaces, tabs, newlines
+
+### Text Analysis Helpers
+- **Unique Words:** Return list of unique words
+- **Most Common Word:** Return most frequent word
+- **Sentence Count:** Number of sentences in text
+- **Average Sentence Length:** Average words per sentence
+- **Character Ratio:** Uppercase/lowercase/number ratio
+
+### ML/NLP Preprocessing
+- **Generate N-grams:** Generate list of n-grams
+- **Strip Accents:** Remove accents (café → cafe)
+- **Lemmatize Text:** Reduce words to base form
+- **Is ASCII:** Check if text only contains ASCII
+
+### Validation Functions
+- **Is Valid Email:** Validate if a string is a proper email
+- **Is Valid URL:** Validate if a string is a proper URL
+- **Is Valid IP:** Check if string is a valid IP address
+- **Is Valid Date:** Check if a string matches a date format
+- **Contains Special Characters:** Check if special symbols are present
+
 ## Installation
 
 You can install FunStrings directly from PyPI:
@@ -96,6 +128,23 @@ print(funstrings.snake_to_camel(snake))  # helloWorldExample
 # Pattern-based
 text_with_emails = "Contact us at info@example.com or support@example.org"
 print(funstrings.extract_emails(text_with_emails))  # ['info@example.com', 'support@example.org']
+
+# Data cleaning
+html_text = "<p>Hello <b>World</b></p>"
+print(funstrings.remove_html_tags(html_text))  # Hello World
+print(funstrings.expand_contractions("I don't know"))  # I do not know
+
+# Text analysis helpers
+print(funstrings.sentence_count("Hello! How are you? I'm fine."))  # 3
+print(funstrings.most_common_word("hello world hello python"))  # hello
+
+# ML/NLP preprocessing
+print(funstrings.generate_ngrams("hello", 2))  # ['he', 'el', 'll', 'lo']
+print(funstrings.strip_accents("café"))  # cafe
+
+# Validation
+print(funstrings.is_valid_email("user@example.com"))  # True
+print(funstrings.is_valid_url("https://example.com"))  # True
 ```
 
 ## Documentation
@@ -126,3 +175,8 @@ Please make sure to update tests as appropriate.
 ## License
 
 This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## Connect
+
+- GitHub: [nilkanth02](https://github.com/nilkanth02/)
+- LinkedIn: [Nilkanth Ahire](https://www.linkedin.com/in/nilkanthahire)