About This Hackathon

<h3>&nbsp;<strong>Welcome to Week 45 of the Weekly MachineHack Hackathon Series!</strong>&nbsp;</h3><p>This week’s MachineHack challenge invites participants to tackle a problem in the domain of <strong>machine learning</strong>: Paddy Yield Prediction Challenge based on Paddy Farming Data.</p><h3>Challenge Details:</h3><p>In this data-driven hackathon, participants will develop machine learning models to predict the Paddy_yield_kg based on Paddy Farming &nbsp;Data.</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 R2_Score &nbsp;, measuring how well the model predict the Paddy_yield_kg.</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 Paddy Farming 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 Ridge/Lasso Regression, RandomForest, XGBoost, LightGBM and CatBoost for predicting .</li></ul><p><strong>Training and Optimization</strong></p><ul><li>Apply ridSearchCV, Bayesian Optimization,<strong> </strong>RandomizedSearchCV for hyperparameter tuning.</li><li>Use Cross-Validation to ensure model robustness.</li><li>Train model using Paddy Farming 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><li><strong>Submission guideline :</strong>You can submit up to 9 solutions per day. If you exceed this limit, please submit your solution on the next day.</li><li><strong>Notebook Formate </strong>: Only .ipynb file will get accepted.</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: 2025-11-06T17:00:00Z
• End Date: 2025-11-28T23:00:00Z
• Current Participants: 48

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>R2_Score</p>

Quick Summary

Paddy Yield Prediction Challenge is a intermediate level hackathon currently expired. It has 48 participants. Prizes include: Knowledge. The event runs from 2025-11-06T17:00:00Z to 2025-11-28T23:00:00Z.Registration is free and open to all skill levels.