Natural Language Processing (NLP) with Python
About Course
This course takes you from text preprocessing to building state-of-the-art NLP models. Learn tokenization, embeddings, sentiment analysis, chatbots, and transformers like BERT.
Some Python and ML basics required.
Course Content
Introduction to NLP
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Lesson 1: What is NLP?
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Lesson 2: NLP Applications in Real World
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Lesson 3: Text Cleaning & Preprocessing
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Lesson 4: Tokenization Techniques
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Lesson 5: Stemming & Lemmatization
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Lesson 6: Stopwords Removal
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Lesson 7: Bag of Words Model
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Lesson 8: TF-IDF Explained
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Lesson 9: NLP Libraries (NLTK, SpaCy)
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Lesson 10: Setting Up NLP Environment