🔥Post Graduate Program in Generative AI and ML:
🔥Integrated MS+PGP Program in Data Science & AI:
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
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