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Data Science: Natural Language Processing (NLP) in Python

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Overview

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis. What you'll learn: Write your own cipher decryption algorithm using genetic algorithms and language modeling with Markov modelsWrite your own spam detection code in PythonWrite your own sentiment analysis code in PythonPerform latent semantic analysis or latent semantic indexing in PythonHave an idea of how to write your own article spinner in PythonUnderstand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion Ever wondered...

Syllabus

  • Natural Language Processing - What is it used for?
  • Course Preparation
  • Machine Learning Basics Review
  • Markov Models
  • Decrypting Ciphers
  • Build your own spam detector
  • Build your own sentiment analyzer
  • NLTK Exploration
  • Latent Semantic Analysis
  • Write your own article spinner


Data Science: Natural Language Processing (NLP) in Python
Go to Class

via Udemy

11 hours 55 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

Lazy Programmer Inc.

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