About This Hackathon

<h3><strong>Welcome to Week 26 of the Weekly MachineHack Hackathon Series!</strong></h3><p>This week brings an exciting new challenge in the domain of machine learning: Flight Distance Prediction. Predicting flight distances is a critical task in the aviation industry, with applications ranging from fuel estimation and flight planning to optimizing airline operations and improving passenger experience. By accurately estimating the distance between two airports, airlines can optimize routes, reduce fuel consumption, and enhance scheduling efficiency.</p><h3><strong>Challenge Details</strong></h3><p>Your task is to develop a machine learning model that predicts the flight distance between two airports based on features such as Origin Latitude,Origin Longitude,Destination Latitude,Destination Longitude,Great Circle Distance,Timezone Difference,Continent Origin,Continent Destination and Route Popularity. The model will help airlines and passengers better understand flight routes and improve operational planning.</p><h3>Participation and Benefits</h3><ul><li>Intermediate Level: This hackathon is ideal for participants with a basic understanding of machine learning and deep learning techniques.</li><li>Community Engagement: Join our dynamic community on <a target="_blank" rel="noopener noreferrer" href="https://t.me/joinchat/NJLxnlWiz9lFnEJU20Sccw">Telegram</a> to share ideas, ask questions, and collaborate with fellow participants.</li><li>Certificates: Every participant will receive a certificate from MachineHack, and winners will earn a spot on the leaderboard.</li></ul><h3>Submission and Evaluation</h3><ul><li>Submission Format: Participants must submit their predictions in the format specified in submission.csv.</li><li>Evaluation Metric: Submissions will be evaluated based on the RMSE , measuring how well the model predict flight distance.</li><li>Leaderboard: Track your progress and aim for the top spot on the leaderboard.</li></ul><h3>Data Description</h3><p>The dataset for this hackathon includes:</p><ul><li>train.csv: Contains flight data.</li><li>test.csv: Contains data for testing.</li><li>submission.csv: The format in which your predictions should be submitted.</li></ul><h3>How to Crack This Challenge</h3><p>To tackle this challenge successfully, follow these steps:</p><p><strong>Data Pre-processing</strong></p><ul><li>Handle Missing Values: Identify and impute or remove missing values.</li><li>Remove the unwanted columns.</li></ul><p><strong>Model Development</strong></p><ul><li>Use machine learning models like Random Forest and XGBoost for flight distance prediction.</li></ul><p><strong>Training and Optimization</strong></p><ul><li>Apply Grid Search CV for hyperparameter tuning.</li><li>Train model using flight data.</li></ul><p><strong>Validation and Testing</strong></p><ul><li>Ensure the model generalizes well to unseen data.</li><li>Generate predictions for the test dataset in the required format for submission.</li></ul><p>For our subscribers, a starter notebook will be available to guide you through data pre-processing and basic model building. You can customize and enhance this framework to develop your solution further.</p><h3><strong>Getting Started</strong></h3><ol><li><strong>Register Now:</strong> Make sure to register for the hackathon to stay updated.</li><li><strong>Download the Dataset:</strong> Access the dataset from the MachineHack platform and start working.</li><li><strong>Join the Community:</strong> Interact with fellow participants and mentors via our Telegram group for discussions and support.</li></ol><h3><strong>Support and Resources</strong></h3><p>For any questions or assistance, please reach out to our support team at support@machinehack.com. Stay informed about the latest announcements by subscribing to our newsletter.</p><h3><strong>Happy Hacking and Growing! 🚀</strong></h3>

Key Information

• Category: Hackathon
• Difficulty Level: Intermediate
• Status: Expired
• Start Date: 2025-03-11T18:30:00Z
• End Date: 2025-04-11T23:23:59Z
• Current Participants: 154

Prizes and Awards

Knowledge

Rules and Guidelines

<ul><li>The participants are required to provide the code for the work done.</li><li>The output of the code should match the submission file with the "Best Score" achieved by the participant.</li></ul>

Evaluation Criteria

<p>RMSE</p>

Quick Summary

Flight Distance Predictions is a intermediate level hackathon currently expired. It has 154 participants. Prizes include: Knowledge. The event runs from 2025-03-11T18:30:00Z to 2025-04-11T23:23:59Z.Registration is free and open to all skill levels.