Natural Language Processing with Python Online Course (10 credits)

Sale price€199.50

Nowadays, search engines like Google and e-commerce businesses like Amazon greatly impact our lifestyles. Users search a phrase or a description, and they will be presented with options in a fraction of a second. The question is, how do these tools grasp our natural language? Natural Language Processing (NLP) is a collection of tools from computer science, artificial intelligence, and linguistics that fills the void between humans and machines by making our natural language comprehensible to machines. NLP gives computers the ability to understand written and spoken words in much the same way human beings can. The purpose of NLP problems is not just to understand words individually but to understand the whole meaning of the words. Today NLP serves the backbone of a large number of applications that have affected our lives, such as translation engines, chatbots, recommender systems, text classification, etc.

TechClass Applied Machine Learning with NLP online course gives you the necessary resources to gain the career-building NLP skills you need to succeed as an NLP specialist. By the end of this course, you will be familiar with how to preprocess and analyze texts as your first steps on the journey to NLP. You will get a complete understanding of how to use Python's scientific computing libraries to vectorize and embed words and documents and classify texts using machine learning models such as SVM and Naïve Bayes gradually. Moreover, you will learn how to implement LSTM as the widely used NLP deep learning model.

Learning outcomes

  • Learn the basic concepts of NLP and its applications
  • Learn various text preprocessing techniques like stemming, lemmatization, tokenizing
  • Learn how to analyze a text
  • Learn how to embed words
  • Get familiar with text vectorization techniques
  • Learn how to find the most used words in a text using wordcloud maps
  • Learn how to create a simple recommender system
  • Learn how to create a simple chatbot
  • Gain hands-on experience performing sentiment analysis
  • Learn how to classify texts
  • Get familiar with machine learning models useful for NLP
  • Gain hands-on experience training LSTM models
  • Get familiar with deep learning and Keras
  • Get acquainted with NLP libraries such as Gensim, NLTK, TextBlob, SpaCy
  • Learn how to perform sentiment analysis with LSTM

Table of contents


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