This course delves into natural language processing (NLP), teaching you how to build models for tasks like sentiment analysis and text classification. You'll learn about logistic regression and naive Bayes, and how to represent text as vectors.
Structured path covering Python, ML fundamentals, and deep learning basics for aspiring AI practitioners.
From tokenization to transformers. Build production NLP systems for text classification, named entity recognition, sentiment analysis, and question answering.
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