Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization and Natural-Language-Processing-Specialization
These are competitors offering duplicate coursework solutions for the same Coursera NLP specialization, where users would select one based on code quality, documentation completeness, or community engagement (reflected in the significant star count difference).
About Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization
shantanu1109/Coursera-DeepLearning.AI-Natural-Language-Processing-Specialization
This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu
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.
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