ansegura7/NLP
Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques, on several modern platforms and libraries.
This course provides practical guidance for understanding and implementing various Natural Language Processing (NLP) techniques. It takes raw text from books, processes it, and helps you extract insights like parts of speech, named entities, and word relationships. It's designed for data scientists, machine learning engineers, and researchers looking to apply NLP in their projects.
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Use this if you are a developer with Python knowledge wanting to learn and implement core NLP algorithms like spell checking, semantic enrichment, or word embeddings using libraries like spaCy and Gensim.
Not ideal if you are looking for a high-level overview of NLP concepts without diving into code implementation, or if you prefer a non-Python environment.
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Last pushed
Oct 19, 2023
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