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
4 out of 5 Codecademy learners achieve their goals"Codecademy gave me the tools I needed to land my first job as a developer, completely changing my career from the waste industry." - Jonathan Manner, Sweden
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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