This repository contains practical experiments, small projects, and tutorials in Natural Language Processing (NLP), including text classification, embeddings, tokenization, and recommendation systems.

Note: This repository is continuously updated with new experiments and notebooks.

nlp-labs/
├── ecommerce-text-classification/
│ ├── embeddings_&_classifier/
│ │ ├── exommerce_text_classifier.pkl
│ │ ├── label_encoding.npy
│ │ └── text_embeddings.npy
│ ├── notebook/
│ │ └── ecommerce-text-classification.ipynb
│ └── Readme.md
├── pre_processing/
│ ├── concat_range_caret.py
│ └── tokenization.ipynb
├── song_recommendation_with_embeddings/
│ └── song_recommendation_with_embeddings.ipynb
└── Readme.md

• ecommerce-text-classification/
  Text classification experiments with embeddings and pre-trained classifiers. Includes notebooks and saved models.

• pre_processing/
  NLP preprocessing experiments such as tokenization and text manipulation scripts.

• song_recommendation_with_embeddings/
  Recommendation system experiments using embeddings.

1. Clone the repository:

git clone https://github.com/your-username/nlp-labs.git
cd nlp-labs

Author: Aroosh Ahmad — AI Engineer (NLP, LLMs, ML Systems)       GitHub • LinkedIn