English | Size: 238 MB
Genre: eLearning
Python for AI: A Crash Course. This course covers the basics of Python programming with a focus on AI applications. Students will learn Python syntax, environment management, working with external libraries, handling data formats, and basic file operations. The course emphasizes hands-on practice using Jupyter notebooks. By Joey deVilla. This course is a great introduction for those who want to work in the field of artificial intelligence and machine learning. By learning the basics of Python, you will have a strong foundation for learning more advanced concepts in these fields. Concepts covered: Python language, Jupyter notebooks, package management, file operations, libraries, data manipulation. Course content: 1-Introduction to Python and Jupyter notebooks. 2-Python syntax and best practices. 3-Working with Python libraries and package management. 4-Working with local data (file operations and data management). 5-Working with online data and APIs.
What you will learn in this course:
Understand and apply Python syntax: Understand and apply Python syntax through practical examples such as making network requests, manipulating JSON data, and processing files.
Setting up and using Jupyter Notebooks: Set up and use the Jupyter Notebook Python development environment.
Effectively manage Python environments and integrate third-party libraries: Effectively manage Python environments and integrate third-party libraries.
This course is suitable for people who:
Interested in learning the basics of Python programming with a focus on artificial intelligence applications.
Want to learn the basic concepts of Python, including syntax, package management, and working with data.
They plan to use Python to develop artificial intelligence projects.
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