Natural-Language-Processing-Specialization and NLPSpecialization

These are competing implementations of the same Coursera NLP specialization course, where users would select one based on code quality and comprehensiveness (A has significantly more community validation with 854 stars versus B's 2 stars).

Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 0/25
Adoption 2/25
Maturity 16/25
Community 12/25
Stars: 854
Forks: 699
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 2
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

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

This coursework helps machine learning and AI students, as well as software engineers, understand and build systems that can process human language. It takes raw text or audio data and provides capabilities like sentiment analysis, language translation, text summarization, and question answering. The end-users are professionals looking to implement advanced NLP applications.

natural-language-processing machine-learning-engineering AI-development text-analysis language-modeling

About NLPSpecialization

Mopheshi/NLPSpecialization

A repository for "Natural Language Processing" course on Coursera offered by DeepLearning.AI

Scores updated daily from GitHub, PyPI, and npm data. How scores work