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Codecademy

Data and Programming Foundations for AI

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Overview

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Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer. Includes **Python**, **Probability**, **Linear Algebra**, **Statistics**, **matplotlib**, **pandas**, and more.

Syllabus

  • Welcome to Machine Learning/AI Engineering Foundations
    • See what you will learn in Machine Learning/AI Engineering Foundations!
  • Principles of Data Literacy
    • Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
  • Python Fundamentals for ML/AI Engineers (Part I)
    • Build a foundation in programming with Python!
  • Python Fundamentals for ML/AI Engineers (Part II)
    • Continue building your Python Skills while applying them to real challenges including finding and working with real data.
  • Portfolio Project: U.S. Medical Insurance
    • Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
  • Python Pandas for ML/AI Engineers
    • Learn how to use the Python pandas library and lambda functions.
  • Exploratory Data Analysis in Python
    • Learn about exploratory data analysis (EDA) techniques for Data Science
  • Math and Statistics for ML/AI Engineers
    • Learn the math and statistics behind many machine learning models
  • ML/AI Engineering Foundations : Final Portfolio
    • Show off your knowledge of ML/AI Engineering Foundations by developing your final portfolio project on a topic of your choice.

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