2019-04-27, 12:00–12:45, i2
GitHub Repository, thank you for coming!
Or rather: How to get started with Machine Learning using Python?
We apply scikit-learn to develop a simple Machine Learning model.
What is this talk about?
For a specific (and simple) use case, we will go through the steps needed to learn from data by training and evaluating a Machine Learning model.
In doing so, we will touch on:
- Problem setting and terminology
- Learning and predicting
- Feature selection and importance, Hyperparameters, Cross Validation
What is this talk NOT about?
- Deep Learning
- Different Machine Learning models
- In-depth scikit-learn ...
- AI and PowerPoint ;)
As an introductory level talk, no prerequisites are required. Familiarity with Python syntax may be advantageous but is not mandatory.