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A comprehensive collection of materials for learning and applying Natural Language Processing (NLP), including lecture slides, Jupyter notebooks, and examples. Perfect for beginners and advanced practitioners in data science.

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NLP Resource Collection

Overview

This repository contains a collection of Jupyter notebooks, presentations, and resources for Natural Language Processing (NLP). It is aimed at providing educational material for various NLP topics ranging from text processing to advanced language models.

Contents

Lecture Notes: PowerPoint presentations covering foundational concepts in linguistics, text representation, classification, and prediction in NLP. Jupyter Notebooks: Interactive Python notebooks demonstrating practical applications of NLP techniques like topic modeling, document classification, and named entity recognition. How to Use

Clone the repository to get a local copy on your machine.

Ensure you have Jupyter installed or use Google Colab to open the .ipynb files. Follow the notebooks in sequential order for a structured learning experience.

Contributing

Contributions are welcome! If you have suggestions or improvements, please open an issue or a pull request.

License

This project is open-sourced under the MIT License

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A comprehensive collection of materials for learning and applying Natural Language Processing (NLP), including lecture slides, Jupyter notebooks, and examples. Perfect for beginners and advanced practitioners in data science.

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