A collection of applied NLP notebooks exploring core techniques in natural language processing — including, though not limited to: named entity recognition, text classification, topic modeling, and semantic retrieval. Each notebook applies a specific method to real-world or benchmark datasets, with attention to preprocessing decisions, model comparison, and linguistic interpretation of results.