Time to completeApprox. 6 hours
Prerequisites1 courseWe suggest you complete the following courses before you get started with Intro to Language Models in Python:
- Getting Started with Python for Data Science
About this course
From spam filters to ChatGPT, computer and AI systems have to work with language models all the time. In this course, you will learn how to build and work with the most common language models in data science, including bag-of-words, tf-idf, and word embeddings. Learn the basic skills you need before working with more advanced AI language models.
Skills you'll gain
Create common language models
Measure similarity between words
Determine important words in documents
Syllabus3 lessons • 3 projects • 3 quizzes
Hands-on learningDon’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this course
Mystery FriendUse scikit-learn's bag-of-words functions and Naive Bayes classifier to figure out which of your friends sent you an anonymous postcard!
Read the News AnalysisIn this project you will use tf-idf to analyze a collection of news articles.
U.S.A. Presidential VocabularyIn this project you will use word embeddings to analyze the inaugural addresses of the United States of America presidents.
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