Natural Language Processing in Python (NEW for 2025!)

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Before you do this course, it is strongly recommend taking Data Prep & EDA with Python course first – Course link - https://bitli.in/Wcq51Y8

Learn NLP in Python — text preprocessing, machine learning, transformers & LLMs using scikit-learn, spaCy & Hugging Face

What you'll learn

  • Review the history and evolution of NLP techniques and applications, from traditional machine learning models to modern LLM approaches
  • Walk through the NLP text preprocessing pipeline, including cleaning, normalization, linguistic analysis, and vectorization
  • Use traditional machine learning techniques to perform sentiment analysis, text classification, and topic modeling
  • Understand the theory behind neural networks and deep learning, the building blocks of modern NLP techniques
  • Break down the main parts of the Transformers architecture, including embeddings, attention and feedforward neural networks (FFNs)
  • Use pretrained LLMs with Hugging Face to perform sentiment analysis, NER, zero-shot classification, document similarity, and text summarization & generation

Course link - https://bitli.in/tvjDzeb

 


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