Taxi Trajectory Data | Machine Learning Application

Current repository the final assignment in the context of 'Machine Learning' course,
provided by MSc in Artificial Intelligence from NCSR Demokritos. The scope of the project is to apply machine learning techniques on a dataset.

The project is structured in two Jupyter Notebooks, that contain the initial data preprocessing and the ML application on the data:

1. Data Preprocessing
2. Machine Learning Application

The notebooks are reproducable, inside they have descriptions and steps followed for the project.
On visualization folder, there are some map representation of the data.

Dataset Reference:
Taxi Service Trajectory - Prediction Challenge, ECML PKDD 2015 Data Set

Chiotis Nikolaos - MTN2221
chiotisn@yahoo.com