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Overview
NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python What you'll learn: How to convert text into vectors using CountVectorizer, TF-IDF, word2vec, and GloVeHow to implement a document retrieval system / search engine / similarity search / vector similarityProbability models, language models and Markov models (prerequisite for Transformers, BERT, and GPT-3)How to implement a cipher decryption algorithm using genetic algorithms and language modelingHow to implement spam detectionHow to implement sentiment analysisHow to...
Syllabus
- Introduction
- Getting Set Up
- Vector Models and Text Preprocessing
- Probabilistic Models (Introduction)
- Markov Models (Intermediate)
- Article Spinner (Intermediate)
- Cipher Decryption (Advanced)
- Machine Learning Models (Introduction)
- Spam Detection
- Sentiment Analysis
Instructor
Lazy Programmer Inc.
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