Udemy – Natural Language Processing in Python (NEW for 2025!)

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

This is a practical, hands-on course designed to give you a comprehensive overview of all the essential concepts for modern Natural Language Processing (NLP) in Python.We’ll start by reviewing the history and evolution of NLP over the past 70 years, including the most popular architecture at the moment, Transformers. We’ll also walk through the initial text preprocessing steps required for modeling, where you’ll learn how to clean and normalize data with pandas and spaCy, then vectorize that data into a Document-Term Matrix using both word counts and TF-IDF scores.After that, the course is split into two parts:The first half covers traditional machine learning techniquesThe second half covers modern deep learning and LLM (large language model) approachesFor the traditional NLP applications, we’ll begin with Sentiment Analysis to determine.

DOWNLOAD LINK: Natural Language Processing in Python (NEW for 2025!)

Natural_Language_Processing_in_Python___40_NEW_for_2025__41_.part1.rar – 1.5 GB
Natural_Language_Processing_in_Python___40_NEW_for_2025__41_.part2.rar – 1.5 GB
Natural_Language_Processing_in_Python___40_NEW_for_2025__41_.part3.rar – 1.5 GB
Natural_Language_Processing_in_Python___40_NEW_for_2025__41_.part4.rar – 463.7 MB

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