📄️ Variables & Types
Understanding Python's dynamic typing system, memory management, and the core data types essential for data science.
📄️ Data Structures
Mastering Python's built-in collections: Lists, Tuples, Dictionaries, and Sets, and their specific roles in data science pipelines.
📄️ Loops
Mastering For loops, While loops, and the logic of iteration in Machine Learning pipelines.
📄️ Conditionals
Mastering If, Else, and Elif statements to control program flow and handle logic in Machine Learning pipelines.
📄️ Exceptions
Learning to handle errors gracefully in Python to build robust and fault-tolerant Machine Learning pipelines.
📄️ Functions
Mastering reusable code blocks in Python: defining functions, handling arguments, and understanding global vs. local scope in ML workflows.