Flight Delay Analysis

Project Description

As a part of our Data Mining project, I tackled a significant challenge in the US aviation industry: predicting flight arrival delays. It utilizes machine learning to build and evaluate models that predict arrival delays based on historical data. This project showcases data analysis, machine learning, data visualization and model evaluation skills

Skills Showcased:

This project demonstrates skills in data analysis (data cleaning, feature engineering), machine learning (building and evaluating regression models), and project management.

Data Source

Bureau of Transportation Statistics: Airline On-time and Delay Causes

https://www.transtats.bts.gov/OT_Delay/OT_DelayCause1.asp

We used different regression methods to build different models to predict the arrival delay and used the following methods to evaluate and determine the ideal model:

1. Linear Regression

2. Decision Trees Regression

3. Gradient Boosting Regression

4. KNN Regression