Skip to content

MuhammadMooazam/Flight-Price-Prediction-Project

Repository files navigation

Flight Price Prediction Project

Flight Price Prediction

🌟 Welcome to the Flight Price Prediction Project! 🌟

This data science and machine learning project are your ticket 🎫 to predicting flight prices with precision. Whether you're a globe-trotter seeking budget-friendly fares ✈️ or a data enthusiast navigating the skies of machine learning 🚀, we've got your journey covered.


✈️ Introduction

Air travel has woven itself into the fabric of modern life, but the ever-fluctuating flight ticket prices can be turbulent. Fear not! 🛡️ The Flight Price Prediction Project is your navigational instrument, using the power of data science and machine learning to forecast ticket prices accurately. 📊


📊 Features

  • Data Exploration: Embark on an expedition deep into the flight ticket dataset, uncovering hidden insights and charting the course ahead.

  • Data Preprocessing: Navigate through data cleaning, master the art of handling missing data, and transform features into a model-ready state.

  • Model Building: Your machine learning compass! Deploy various algorithms to construct predictive models.

  • Model Evaluation: Hoist the flag of rigorous evaluation to ensure precise predictions are anchored in reality.


🚀 Getting Started

Your journey begins here! 🌄 Follow these steps to embark on this adventure:

  1. Clone this repository: git clone https://github.com/MuhammadMooazam/Flight-Price-Prediction-Project.git

  2. Delve into the Jupyter notebooks to explore the project's fascinating voyage.


🗺️ Dataset

Our treasure map 🗺️: The dataset for this project is sourced from SastaTicket.pk. It's a treasure trove of flight data, including departure and arrival cities, flight durations, airlines, and, most importantly, ticket prices.


🌐 Usage

This project isn't just a pitstop; it's a resource for all wanderers of data science, machine learning, and flight price prediction. You're welcome to use the code and notebooks here as your guiding star 🌟 for your own projects or extend this project to reach new heights.


🙌 Contributing

Ahoy, fellow travelers! We extend an invitation to the open-source skies. Your ideas, bug reports, and pull requests are like gusts of wind that can propel this project to new horizons.


📜 License

Set sail with confidence! This project is licensed under the MIT License, granting you the freedom to use, modify, and distribute the code for both personal and commercial purposes.


🚢 If you have any questions, suggestions, or just want to share your travel tales, feel free to open an issue or contact us.

LinkedIn Twitter

Releases

No releases published

Packages

No packages published