Flight-delay-Analysis-and-Prediction

Domain:

Airline/ Air force

Objective:

  To predict and Analysis of the flight delays and its causes. 

Analytical Approach:

  Pulled out insights and patterns based on the weather and flight trip details data provided using various plotting tools and techniques like Time series etc., Worked on feature engineering and extraction. Based on some hypothesis conditions build models and validated. 

Business Benefits:

  Can be able to help various stakeholders like customer appropriately managing the time and carrier gaining the customer faith and Airports will be extra capable of managing the traffic and increase the number of arriving flights by its appropriate schedule adjustments.

Tools Used:

Tableau, Myplotlib, Seaborn, Arules, scikit-learn, keras.

Languages Used:

Python