Content for the tutorials of the Data Science I lecture, winter semester 2021/22.
Taught at Georg-August-Universität Göttingen
Lecturer: Prof. Fabian Sinz
Tutors: Mohammad Bashiri, Konstantin Willeke, Christoph Blessing, Pawel Pierzchlewicz.
Tutorial 1: Getting started (setup)
Tutorial 2: Python basics
Tutorial 3: Python basics; numerical computing with Python (intro to Numpy)
Tutorial 4: Numerical computing; visualization (Numpy and Matplotlib)
Tutorial 5: Descriptive and inferential statistics (Pandas and Scipy)
Tutorial 6: More on inferential statistics
Tutorial 7: Regression (scikit-learn); objective functions and optimization (JAX); git and GitHub
Tutorial 8: Classification (scikit-learn); over-fitting and how to avoid it
Tutorial 9: Clustering and dimensionality reduction
Tutorial 10: Dimensionality reduction continued: ICA and Autoencoders
Tutorial 11: Autoencoders continued; time series analyses