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Data and Programming Foundations for AI

Master Python, statistics, and data analysis fundamentals essential for launching your Machine Learning and AI engineering career through hands-on projects.
via Codecademy

67 कोर्स


39 hours

वैकल्पिक अपग्रेड उपलब्ध है

शुरुआती

अपनी गति से आगे बढ़ें

Free Trial Available

वैकल्पिक अपग्रेड उपलब्ध है

अवलोकन

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.

पाठ्यक्रम

  • 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.

विषय

Computer Science