Machine Learning for Beginners – Data Science & Python

I make you a promise:

If you can’t understand and program your own machine learning algorithm in 30 days after the React course, you get all your money back and get to keep all the course materials as my gift .

In this course, you as a beginner will be guided through all relevant fields of Alorgythms and Artificial Intelligence in Python in a practice–oriented way, so that you can finally program your AI with Python 3.9 (the latest version) without errors. We’ll focus here on machine learning and deep Learning

Your lecturer in this course is Vivien.
She has been a Python and Java programmer for 7 years and works at a software company for cyber security. In this course, Vivien shares all she knows about what beginners need to know to get started successfully in machine learning and make as few mistakes as possible. Vivien’s goal in this course is to provide you with strong tools and a solid foundation in Python/Machine learning for your future programming experience. This is why the course also relies on theory to make the basic concepts of machine learning understandable in order to apply them later in this course.

The machine learning course covers everything you need to know as a beginner in Python and machine learning itself to successfully write your first programs and codes. The focus is on practice so that you can primarily use the functions of Python in real life to solve your problems and write your own machine–learning code, in addition to theoretical lections.