deskool/nlp-class
A Natural Language Processing course taught by Professor Ghassemi
This course teaches you how to work with text and speech data to build intelligent systems. You'll learn how to take raw language (like customer reviews or voice recordings) and turn it into structured insights, generated text, or classified categories. This is ideal for anyone looking to understand and apply natural language processing techniques, from a student to a data professional.
188 stars. No commits in the last 6 months.
Use this if you want a hands-on introduction to Natural Language Processing and Machine Learning, with no prior background in either.
Not ideal if you are looking for a pre-built tool or library to integrate into an existing application without learning the underlying theory.
Stars
188
Forks
67
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Mar 24, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/deskool/nlp-class"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
RingBDStack/SocialED
A python library for social event detection
mesolitica/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
astorfi/Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including...
DSKSD/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)