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
Badge for Feature Engineering and Text Representation,
Course details
Text Cleaning and Normalization in NLP
Text Cleaning with Regular Expressions
Text Normalization in Action
Refine Your Text Cleaning Skills
Stemming vs Lemmatization Showdown
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