What is Python?
Python is an interpreted programming language known for its readability and clear syntax. It provides various libraries and frameworks that simplify machine learning development. Python’s versatility and active community make it an ideal language for machine-learning projects and supports object-oriented programming, most commonly used to perform general-purpose programming. Python is used in several domains like Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Networking, Game Development, Web Development, Web Scraping, and various other domains.
The learning objectives of this course are:
- To understand why Python is a useful scripting language for developers.
- To learn how to design and program Python applications.
- To learn how to use lists, tuples, and dictionaries in Python programs.
- To learn how to identify Python object types.
- To learn how to use indexing and slicing to access data in Python programs.
- To define the structure and components of a Python program.
- To learn how to write loops and decision statements in Python.
- To learn how to write functions and pass arguments in Python.
- To learn how to build and package Python modules for reusability.
- To learn how to read and write files in Python.
- To learn how to design object‐oriented programs with Python classes.
- To learn how to use class inheritance in Python for reusability.
- To learn how to use exception handling in Python applications for error handling.
What is Machine Learning?
Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one has ever come across. As it is evident from the name, it gives the computer something that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect.
Python’s Role in Machine Learning
Python has a crucial role in machine learning because Python provides libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and Keras. These libraries offer tools and functions essential for data manipulation, analysis, and building machine learning models. It is well-known for its readability and offers platform independence. These all things make it the perfect language of choice for Machine Learning.
