About This Hackathon

<h3>Welcome to Week 19 of the Weekly MachineHack Hackathon Series!</h3><p>This week’s challenge revolves around developing a predictive model for heart rate forecasting. Accurate heart rate predictions are vital in various fields, from healthcare and fitness monitoring to enhancing wearable technology.</p><h3>Participation and Benefits:</h3><ul><li><strong>Skill Level</strong>: This challenge is ideal for participants with experience in time series analysis, regression modeling, and feature engineering.</li><li><strong>Community Engagement</strong>: Join our Telegram group to collaborate with peers, ask questions, and share insights.</li><li><strong>Recognition</strong>: All participants will receive a MachineHack certificate, and top performers will be highlighted on the leaderboard.</li></ul><h3>Submission and Evaluation:</h3><ul><li><strong>Submission Format</strong>: Submit your predictions in the provided Submission.csv file.</li><li><strong>Evaluation Metric</strong>: Submissions will be evaluated based on the Root Mean Squared Error (RMSE).</li><li><strong>Leaderboard</strong>: Track your ranking and compete for the top spot!</li></ul><h3>How to Approach the Challenge:</h3><p><strong>Data Preprocessing</strong>:</p><ul><li>Handle missing values and inconsistencies.</li><li>Normalize physiological data for consistent scaling.</li></ul><p><strong>Feature Engineering</strong>:</p><ul><li>Derive meaningful features such as average heart rate per activity, time intervals, or contextual trends like weekends vs. weekdays.</li></ul><p><strong>Modeling Techniques</strong>:</p><ul><li>Experiment with regression models like Random Forest, Gradient Boosting, or deep learning methods like LSTM or Transformer-based architectures for sequential data.</li></ul><p><strong>Validation and Tuning</strong>:</p><ul><li>Apply k-fold cross-validation and optimize hyperparameters to enhance prediction accuracy.</li></ul><h3>Resources and Support:</h3><ul><li><strong>Starter Notebook</strong>: A comprehensive starter notebook will help you with initial data exploration and basic model setup. It's accessible for premium users.</li><li><strong>Expert Guidance</strong>: A live walkthrough session will be held on [insert date] to provide tips and strategies for the challenge.</li></ul><h3>Getting Started:</h3><ul><li><strong>Register Now</strong>: Ensure you’re registered to receive updates and access challenge materials.</li><li><strong>Download the Dataset</strong>: Access the dataset from the MachineHack platform and begin your analysis.</li><li><strong>Join the Community</strong>: Collaborate and exchange ideas with other participants via our Telegram group.</li></ul><h3>Support and Queries:</h3><p>For any questions, reach out to our support team at <a href="mailto:support@machinehack.com">support@machinehack.com</a>.</p><p>We can’t wait to see the innovative solutions you bring to this challenge!</p>

Key Information

• Category: Hackathon
• Difficulty Level: Intermediate
• Status: Expired
• Start Date: 2024-11-21T18:00:00Z
• End Date: 2024-12-15T23:59:59Z
• Current Participants: 263

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>The evaluation will be performed over the <strong>Root Mean Squared Error (RMSE) </strong>metric between the submitted file and the ground truth.</p>

Quick Summary

Heart Rate Forecasting is a intermediate level hackathon currently expired. It has 263 participants. Prizes include: Knowledge. The event runs from 2024-11-21T18:00:00Z to 2024-12-15T23:59:59Z.Registration is free and open to all skill levels.