/Flight-Delay

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Flight Delay Prediction

This repository contains code and data for predicting flight delays using machine learning algorithms.

Table of Contents

Introduction

Flight delays can cause significant inconvenience to passengers and airlines. This project aims to predict flight delays using historical flight data and machine learning techniques.

Installation

To get started, clone the repository and install the required dependencies:

git clone https://github.com/yourusername/Flight-Delay.git
cd Flight-Delay
pip install -r requirements.txt

Usage

To train the model and make predictions, run the following command:

python main.py

Data

The dataset used in this project includes historical flight data with features such as departure time, arrival time, airline, and weather conditions. The data is stored in the data directory.

Models

The project includes several machine learning models for predicting flight delays, including:

  • Linear Regression
  • Decision Trees
  • Random Forest
  • Gradient Boosting