This project is made to analyse, understand and make model of Flight Delays Data from 2015. This data set is part of kaggle datasets: https://www.kaggle.com/usdot/flight-delays
Project consists of 4 files.
- Flight_data_transformation.ipynb - Jupyter Notebook that contains data understanding, and data manipulation
- Flights_data_visualization.ipynb - Jupyter Notebook that constains visualizaiton of data. It includes charts, tables and other required for data interpretation.
- main_Flights_delays.ipynb - Jupyter Notebook that have modeling data and mashine learning alogirthms to predict delation of flights
- flight_data_transformation.py - Python file that constains functions from Flight_data_transformation.ipynb notebook
- Improting data ✅
- Understanding data ✅
- Analysing data ✅
- Plotting data in depend of:
- airport ✅
- airline ✅
- Feature engineering✅
- Modeling data ✅
- Finding best algorithm ✅
- random
- pandas
- numpy
- matplotlib
- seaborn
- datetime
- sklearn