Natural Language Processing with Python (NLP)

Colleagues, in the “Natural Language Processing with Python (NLP)” program you will learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing. [80 lectures - 11+ training hours]. Work with Text Files with Python and PDF files in Python, utilize Regular Expressions for pattern searching in text, use Spacy for ultra fast tokenization, learn about Stemming and Lemmatization, understand Vocabulary Matching with Spacy, use Part of Speech Tagging to automatically process raw text files, understand Named Entity Recognition, visualize POS and NER with Spacy, use SciKit-Learn for Text Classification, use Latent Dirichlet Allocation for Topic Modelling, learn about Non-negative Matrix Factorization, use the Word2Vec algorithm, NLTK for Sentiment Analysis, and Deep Learning to build out your own chat bot. Skill-based training lessons address: 1) Python Text Basics, 2) Natural Language Processing Basics, 3) Part of Speech Tagging and Named Entity Recognition, 4) Text Classification, 5) Semantics and Sentiment Analysis, 6) Topic Modeling, and 7) Deep Learning for NLP.

Enroll today (teams & execs welcome): https://tinyurl.com/yudx985p

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)