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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.

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