Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera

Practical Python for AI Coding 2

Korea Advanced Institute of Science and Technology via Coursera

Overview

Introduction video : https://youtu.be/TRhwIHvehR0

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users. This course starts with building an AI coding environment without failures on learners’ desktop or notebook computers to enable them to start AI modeling and coding with Scikit-learn, TensorFlow and Keras upon completing this course. Because learners have an AI coding environment on their computers after taking this course, they can start AI coding and do not need to join or use the cloud-based services.

Syllabus

  • Numpy library: Using arrays
  • Pandas library: Using DataFrames
  • Strings and files
  • Data visualization: matplotlib and seaborn
  • Object oriented programming: introducing class object

Taught by

Youngsun Kwon

Reviews

Start your review of Practical Python for AI Coding 2

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.