Second project at the neuefische Data Science bootcamp 2022.
This group project aims to predict the delay of aircrafts flying (mostly) from or to the Tunis-Carthage International Airport (TUN) using regression models. The data base for this task is from the zindi website which organised the "AI Tunisia Hack 2019" and covers the years 2016 to 2018 with a total of about 100,000 samples in 10 columns (9 features + 1 label).
The data can be found at:
https://zindi.africa/competitions/ai-tunisia-hack-5-predictive-analytics-challenge-2.
Supplementary data for the airports are provided at:
https://pypi.org/project/airportsdata/
The exploratory data analysis (EDA) can be found in 1_EDA.ipynb. The notebooks for the different models are in the model folder.
Requirements:
- pyenv with Python: 3.9.8
Environment:
For installing the virtual environment you can either use the Makefile and run make setup or install it manually with the following commands:
pyenv local 3.9.8
python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt