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RoadToML
This marks the start of a hopeful journey to Machine Learning Engineer. This first month is going to be around re-learning the basics of python.
Week 1: Python Fundamentals Variables and Data Types: Learn about integers, floats, strings, booleans, and lists. Practice basic operations and type conversions. Control Flow: Master if, else, for, and while loops to control program flow based on conditions and iterations. Functions: Define reusable blocks of code with arguments and return values. Practice writing clean and modular functions.
Week 2: Intermediate Python Data Structures: Deep dive into lists, tuples, dictionaries, and sets. Explore advanced operations and use cases for each. Modules and Packages: Learn how to import and use external libraries like os, math, and random to extend Python's functionality. File I/O: Read and write data from text files and CSV files. Explore techniques for handling large datasets. Exception Handling: Learn how to handle errors (exceptions) gracefully using try-except blocks.
Week 3: Advanced / good practice coding Object-Oriented Programming (OOP) Basics: Understand concepts like classes, objects, methods, and attributes. Learn about inheritance and polymorphism
Week 4: Project Time Using all materials learnt across the weeks, create a project and provide a report on what it is doing
#programming #python #data analytics #machine learning #artificial intelligence
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