Natural Language Processing
Foundations of NLP Data Processing
Master the foundations of NLP data processing with hands-on practice in text cleaning, vectorization (TF-IDF, bag-of-words, embeddings), modern tokenization methods (BPE, WordPiece, SentencePiece), and efficient large-scale data prep for LLMs. You'll build pipelines that scale from basic preprocessing to embedding storage in vector databases.
Gensim
NLTK
Python
4 lessons
15 practices
1 hour
Course details
Text Cleaning with Regular Expressions
Text Normalization in Action
Refine Your Text Cleaning Skills
Stemming vs Lemmatization Showdown

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