Natural Language Processing (NLP) Tutorials

NLP Basics

Introduction to NLP

Understand the fundamentals of Natural Language Processing, including tokenization, stemming, and lemmatization.

Beginner
Python NLTK
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Text Classification

Text Classification with ML

Build powerful text classifiers using scikit-learn and explore different algorithms like Naive Bayes and SVM.

Intermediate
Python scikit-learn ML
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Sentiment Analysis

Sentiment Analysis Techniques

Dive into sentiment analysis, learning to extract opinions and emotions from text data.

Intermediate
Python spaCy Deep Learning
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Word Embeddings

Understanding Word Embeddings

Explore word embeddings like Word2Vec and GloVe, and their role in capturing semantic relationships.

Advanced
Python TensorFlow Embeddings
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Seq2Seq Models

Sequence-to-Sequence Models

Learn about Seq2Seq models for tasks like machine translation and text summarization.

Advanced
Python PyTorch RNN Transformers
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Transformers

Introduction to Transformers

Get an overview of the Transformer architecture and its impact on modern NLP models like BERT and GPT.

Advanced
Python Hugging Face Transformers
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