Curriculum
- 1 Section
- 15 Lessons
- 5 Days
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- Topics15
- 1.1Introduction to Python and setting up the developer environment. Basic Python Syntax
- 1.2Explore the basic syntax and semantics of Python Language Components
- 1.3Understand the basic control flow features and operators Collections
- 1.4Collections Write programs that manipulate compound data using lists, sets, tuples and dictionaries
- 1.5Functions Decompose your programs into composable functions
- 1.6Modules Organize your code using Modules for flexibility and reuse
- 1.7Classes in Python Explore Object Oriented Programming (OOP) with classes and objects
- 1.8Exceptions Handle runtime errors using Exceptions
- 1.9Input and Output Implement programs that read and write files
- 1.10Data Structures Use advanced data structures like generators and comprehensions to reduce boilerplate code
- 1.11Parsing JSON Read and write JSON data
- 1.12Debugging Debug Python programs using the Python debugger (pdb)
- 1.13Introduction to Machine Learning Describe basic machine learning concepts, different types of machine learning, and machine learning workflows
- 1.14Training Models Train models by using default and custom workbenches
- 1.15Enhancing Model Training with RHOAI Use RHOAI to apply best practices in machine learning and data science
Training Models Train models by using default and custom workbenches
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