/Natural-Language-Processing-Specialization

Assignments and lab notebooks of NLP Specialization by DeepLearning.ai

Primary LanguageJupyter Notebook

Natural Language Processing Specialization

Course 1: Classification and Vector Spaces in NLP

  • Week 1: Logistic Regression for Sentiment Analysis of Tweets [Link]
  • Week 2: Naive Bayes for Sentiment Analysis of Tweets [Link]
  • Week 3: Vector Space Models [Link]
  • Week 4: Word Embeddings and Locality Sensitive Hashing for Machine Translation [Link]

Course 2: Probabilistic Models in NLP

  • Week 1: Auto-correct using Minimum Edit Distance [Link]
  • Week 2: Part-of-Speech (POS) Tagging [Link]
  • Week 3: N-gram Language Models [Link]
  • Week 4: Word2Vec and Stochastic Gradient Descent [Link]

Course 3: Sequence Models in NLP

  • Week 1: Sentiment Analysis with Neural Nets [Link]
  • Week 2: Language Generation Models [Link]
  • Week 3: Named Entity Recognition (NER) [Link]
  • Week 4: Siamese Networks [Link]

Course 4: Attention Models in NLP

  • Week 1: Neural Machine Translation with Attention [Link]
  • Week 2: Text Summarization with Transformer Models [Link]
  • Week 3: Question-Answering with Transformer Models [Link]
  • Week 4: Chatbots with a Reformer Model [Link]

Certificate