Machine Learning with Python

Machine Learning with Python

Discover the future of technology. Master the fundamentals of Machine Learning with Python, all set within the culturally rich environment of Berlin. Over the span of this course you will familiarize yourself with the core Python libraries for machine learning, including Scikit-Learn and PyTorch. Next to these, you will learn good coding practice, e.g. using version control with Git & Github and working in virtual environments. The course is highly interactive and features a balanced mix of input lectures and hand-on exercises. You will further learn how to exploit AI-based tools to autonomously troubleshoot and advance your coding skills. The course culminates in starting your own machine learning project, either with your personal data or using a free and online available data set. Besides learning the technical skills, you will network with Python and Machine Learning enthusiasts from all over Europe and immerse yourself in Berlin's transformative history and creative present.

Whom does it adress?

• Anyone keen on learning machine learning with Python
• You should have prior experience with Python, e.g., using the commonly used libraries NumPy, Matplotlib or Pandas

Course Content 

We will explore relevant topics like:

- Introduction to machine learning with Python

- Virtual Environments

- Supervised Learning with Scikit-Learn: Classification (lecture & exercise)

- Introduction to Artificial Neural Networks

- Building a neural network step-by-step (lecture & exercise)

- Using neural networks and PyTorch for classification (lecture & exercise)

- Praxis lab 

Destination: Berlin

The course will be delivered in Berlin! - No further explanation needed ... or?