janinerottmann/PDS1920-1

Course material for Practical Data Science (PDS) 2019/2020, University of Wuerzburg

PDS1920

Course material for Practical Data Science (PDS) 2019/2020, University of Wuerzburg

Lecture

1. Introduction

   • Jupyter Basics
   • Version Control

2. Descriptive Analytics

3. Introduction Machine Learning

4. Feature Engineering

5. Deep Learning on Tabular Data

6. Image Classification

Cheatsheets

• Git

Local installation

The open-source Anaconda Distribution is the easiest way to perform Python/R data science and machine learning.

• You can create a conda environment from the privided environment.yml file (more)