Natural-Language-Processing-Specialization and Coursera---Natural-Language-Processing-specialization

About Natural-Language-Processing-Specialization

amanjeetsahu/Natural-Language-Processing-Specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Covers four courses implementing classical to modern NLP architectures: sentiment analysis via logistic regression and naive Bayes, vector space models with PCA, sequence modeling with GRUs and LSTMs for tasks like named entity recognition and language generation, and transformer-based approaches including encoder-decoder attention for machine translation, T5/BERT for question-answering, and reformer models for dialogue systems. Implementations progress from foundational algorithms like minimum edit distance and n-gram language models through Word2Vec training to advanced techniques like Siamese networks for semantic similarity and attention mechanisms.

About Coursera---Natural-Language-Processing-specialization

yoongtr/Coursera---Natural-Language-Processing-specialization

Notes, Assignments and Relevant stuff from NLP course by deeplearning.ai