Learning Path - Python

Description:

This Learning Path takes you from zero experience to a complete understanding of key concepts, edge cases, and using Python for real-world application development. After a brief history of Python and key differences between Python 2 and Python 3, you'll understand how Python has been used in applications such as YouTube and Google App Engine. As you work with the language, you'll learn about control statements, delve into controlling program flow and gradually work on more structured programs via functions.

You'll learn about data structures and study ways to correctly store and represent information. By working through specific examples, you'll learn how Python implements object-oriented programming (OOP) concepts of abstraction, encapsulation of data, inheritance, and polymorphism. You'll be given an overview of how imports, modules, and packages work in Python, how you can handle errors to prevent apps from crashing, as well as file manipulation.

Next, you'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithm over 1990 US Census dataset, to discover patterns and profiles, and explore the process to solve a supervised machine learning problem. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package.

Basic knowledge:

This Learning Path is great for anyone who wants to start using Python to build anything from simple command-line programs to web applications. It is also designed for developers who are new to the field of machine learning and want to learn how to use the scikit-learn library to develop machine learning algorithms. Prior knowledge of Python isn't required.

This Learning Path is great for anyone who wants to start using Python to build anything from simple command-line programs to web applications. It is also designed for developers who are new to the field of machine learning and want to learn how to use the scikit-learn library to develop machine learning algorithms.

Course Completion Certificate

What will you learn:

• Learn to use control statements
• Understand how to use loops to iterate over objects or data for accurate results
• Write encapsulated and succinct Python functions
• Build Python classes using object-oriented programming
• Manipulate files on the file system (open, read, write, and delete)
• Gain insight into the difference between supervised and unsupervised models
• Study popular algorithms, such as K-means, Gaussian Mixture, Birch, Na

Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.

Why Simpliv

With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.

Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.