[Feature]: Enhance and merge email spam detection notebook with EDA and NLP improvements #1455

[Niraj1608]

Description

This PR updates the Email Spam Detection project by:

• Adding more detailed EDA with charts and visualizations (heatmaps, pair plots).
• Enhancing NLP techniques like tokenization, lemmatization, and TF-IDF vectorization.
• Improving data cleaning methods for better text preprocessing and model accuracy.

Fixes # (issue)

Type of change

• Added a new machine learning framework, library, or software.
• Documentation update

Checklist:

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

[Niraj1608]

hey @sanjay-kv ! I added my improvements to EDA and NLP techniques to this Email Spam Detection project. Could you kindly take a few minutes to give me a peer review? It would be highly appreciated. Cheers!

[Niraj1608]

@sanjay-kv I added Streamlit deployment to the project, and it's working fine. Could you please check my work and consider increasing my level? Thank you!

[Niraj1608]

@sanjay-kv can you check again :)