b-treftz/flight_status_predictor

This project is the development and deployment of an ML model in which an end user can specify a set of features describing a commercial flight of interest and receive a categorical (yes or no) output indicating if that flight will be delayed more than fifteen minutes or not.

Objective

The goal of this project is to develop and deploy an ML model in which an end user can specify a set of features describing a commercial flight of interest and receive a categorical (yes or no) output indicating if that flight will be delayed more than fifteen minutes or not.

Core Values

This project is a collaborative effort of people from different backgrounds in data science coming together to build cool projects. The goal of this effort is to foster collaboration, have people learn new and interesting concepts, and build a project which is usable by a wider audience other than just the team members.

The goal is not to simply focusing on building the most complex and advanced model, but to make a working project/product to help collaborators get exposed to the entire lifecycle of a data science project and have them work as a team and learn new skills.

Project Phases

1. Data Collection
2. Data Preprocessing
3. EDA
4. Feature Selection
5. Model Selection
6. Model Creation
7. Model Evaluation and Optimization
8. Model Deployment