Data Science for Urban Mobility
Exercises & Assignments:
Notes:
- Exercises will be available weekly during the practical sessions and are for learning and practicing the knowledge acquired during the lectures.
- We will have two graded assignments.
| Topics | Tutorials | Videos |
|---|---|---|
| Tutorial 1: Introduction to Python and Initiation to Data Science | Setting up the environment. Lab notebook in zip and pdf | Video |
| Tutorial 2: Databases, Data Preparation, and Preprocessing | Lab notebook in zip and pdf | Video |
| Tutorial 3: Spatial Data | Lab notebook in zip and pdf | Video |
| Tutorial 4: Bayesian Inference | Lab3 extra materials zip and pdf. Lab4 notebook in zip and pdf | Video |
| Assignment 1: | Assignment 1 - pdf | Assignment 1 - notebook | Data | Deadline: 2021.04.10 Monday 12:00:00.000 EEST | Solutions for this task can not be submitted at the moment.
|
| Tutorial 5: Machine Learning | Lab notebook in zip. Lab extra materials on GitHub | Video |
| Tutorial 6: Spatial Data Analysis | Lab notebook in zip | Video |
| Assignment 2: | Assignment 2 - pdf| Dataset Link |Data NYC Taxi Zones | Dataset Documentation | Deadline: Latest 2021.05.10 Wednesday 12:00:00.000 EEST | Solutions for this task can not be submitted at the moment.
|
| Tutorial 7: Data Visualization and Recap session | Lab notebook in zip | Video |