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Natural Language Processing (NLP) Full Course – Beginner to Advanced [2025] | Learn NLP with Python
๐Ÿ”ฅEdureka Tensorflow Training (Use Code "๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ"): https://ift.tt/Ls6o3pX This Natural Language Processing (NLP) full course is designed to help you build a strong foundation in one of the most important fields of artificial intelligence. Starting from the basics, you’ll learn how machines understand and process human language using core NLP techniques like tokenization, stemming, and vectorization. The course progresses into advanced topics such as word embeddings, sentiment analysis, and transformer models like BERT. With hands-on coding examples in Python and practical projects using libraries like NLTK, spaCy, and Hugging Face, you’ll gain real-world experience in building powerful NLP applications. 00:00:00 Introduction 00:01:42 Natural Language Processing In 10 Minutes 00:09:24 Python NLTK Explained 01:27:20 NLP & Text Mining Using NLTK 02:04:03 Stemming And Lemmatization 02:13:54 Context Free Grammar Using NLP In Python 02:45:05 Text Classification Explained 02:47:43 What is Supervised Learning? 02:57:20 What is Unsupervised Learning? 03:04:37 Decision Tree Algorithm 03:49:29 Random Forest 04:21:33 Support Vector Machine In Python 04:35:07 What is a Neural Network? 04:42:03 Neural Network in Python 04:58:57 Artificial Neural Networks 05:31:17 Recurrent Neural Networks 06:00:13 Transformers Neural Networks 06:11:49 Transformers Explained Using Generative AI 06:19:27 What is Generative AI? 06:34:42 What is LLM? 06:52:02 Chat GPT Explained In 10 Minutes 07:01:41 Prompt Engineering For Code Generation 07:11:00 What is LangChain? 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