{ "fetched_at": "2026-10-24T15:42:58Z", "source_url": "https://www.kaggle.com/competitions/ccs-ml-wars/data", "pages": [ { "name": "data-description", "content": "**Introduction:**\nThe dataset documents rates and trends in heart disease and stroke mortality in the United States from 2000 to 2019. It provides county-level estimates of heart disease and stroke death rates.The data is segmented by age group, race/ethnicity, and sex to comprehensively analyse mortality patterns and trends.\n\n**Dataset Characteristics:**\nThe dataset encompasses mortality rates and heart disease and stroke trends across various demographic groups and time periods. \n\nThe dataset presents the occurrences of various cardiovascular diseases like coronary heart diseases, stroke, hypertension etc. among people of different age groups, ethnicities and gender in different counties of the US over a period of 20 years.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "CCS proudly presents Kaggle Wars an electrifying AI/ML challenge as part of its annual cultural tech fest. Participants will engage in three distinct challenge categories:\n\n1.) Best Insights from Data : Delve into the provided dataset to uncover profound solutions. They are encouraged to utilize additional publicly available datasets to complement the given data, aiming to derive comprehensive insights that can significantly contribute to informed decision-making by stakeholders.\n\n2.) Best Algorithmic Approach : Explore, experiment with, and assess a diverse array of ML/DL algorithms to develop a model capable of delivering accurate, stable, and consistent predictions for the designated target parameter, leveraging other pertinent parameters for optimal performance.\n\n3.) Best Data Visualization : Harness sophisticated data visualization tools and techniques to transform data complexities into visually captivating and insightful graphs and charts. The objective is to convey key insights effectively to diverse audiences in an interactive and easily understandable manner.\n\n\n\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "The evaluation format for the challenges would be as follows:\n\n1.) Best Insights from Data : The participants will be evaluated on the basis of the overall insights they draw from the data as well as the feasibility, novelty and applicability of their solution in real-time scenarios\n\n2.) Best Algorithmic Approach : Submissions will be evaluated on RMSE(Root Mean Squared Error) between the predicted value and the observed target.\n\n3.) Best Data Visualization : The submissions will be judged on the basis of their insightfulness, interactivity and interpretability \n\n\n## Submission Format\n\n1.) Best Insights from Data : Participants are required to submit a short presentation(maximum 4 slides) describing the overall picture unearthed from data, its impacts, causes etc. as well as relevant recommendations for the stakeholders\n\n2.) Best Algorithmic Approach : For each index in the test set, you must predict a numeric value for the Data_Value variable. The file should contain a header and have the following format:\n\n Index,Data_Value\n 2,0\n 5,0\n 6,0\n etc.\n\n3.) Best Data Visualization : Participants have to submit a document containing all their data visualizations drawn from the given dataset ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "# Kaggle Wars 2024 Rule Book\n\nENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL RULES\n\n\n###Kaggle Wars: Retail Analytics Challenge 2024\n\n## 1. EVENT DETAILS\nDate: November 16th, 2024\nTime: 9:00 AM - 9:00 PM\nLocation: TIET\n## 2. PRIZES\nFirst Place: Rs 5,000\nSecond Place: Rs 2,500\nBest Data Visualization: Rs 2,500\n## 3. COMPETITION-SPECIFIC RULES\n\n### 1. TEAM LIMITS\na. Maximum team size is three (3) members\nb. No team mergers are allowed during the competition\nc. Participants must register their teams by 13th Nov 2024\n\n### 2. SUBMISSION REQUIREMENTS\na. Each team must submit exactly three (3) slides\nb. Submissions must be in PowerPoint or PDF format\nc. Maximum file size: 10MB\nd. All submissions must be made through the official submission portal\ne. No late submissions will be accepted\n\n### 3. COMPETITION TIMELINE\n9:00 AM: Competition starts\n9:00 PM: Final submission deadline\nNovember 17th: Initial screening\nNovember 18th: Top 10 submissions shared with judges\nNovember 25th: Winners announced\n\n### 4. DATA ACCESS AND USE\n1. No external data sources are permitted\n2. Teams must maintain data confidentiality\n3. Dataset may only be used for competition purposes\n\n### 5. EVALUATION CRITERIA\nTotal Points: 100\n\n### 6. ELIGIBILITY\na. Open to everyone\nb. All team members must be registered students\nc. Each participant can only be part of one team\nd. Participants must be present for the entire competition duration\n\n### 7. WINNER'S OBLIGATIONS\nWinners must:\na. Present their findings if requested\nb. Share their analysis methodology\nc. Be present at the awards ceremony\nd. Sign any required documentation\n\n### 8. CODE OF CONDUCT\na. All work must be original\nb. No sharing of solutions between teams\nc. Maintain professional behavior throughout\nd. Follow ethical data analysis practices\n\n### 3. GENERAL TERMS\nOrganizers reserve the right to disqualify any team for rule violations\nJudges' decisions are final\nWinners may be featured in institutional communications\nParticipation implies consent for photography/videography\nFor questions or clarifications, contact:\nPranjal Kishor\npkishor_be22@thapar.edu, +91 85349 91977\n\nGopal Agarwal\ngagarwal_be22@thapar.edu, +91 7266040123\n\na.) Best Insights from Data : In this challenge, participants will have to analyse the given dataset and uncover the best insights from it and club it with their own knowledge/research/intuition in order to aid the stakeholders in better decision making \n\nb.) Best Algorithmic Approach : In this challenge, participants have to train a model on the given dataset which would later be evaluated on another similar dataset. Here, the goal of the participants is to try different algorithms to increase accuracy and give the optimal. model\n\nc.) Best Data Visualization : In this challenge, participants will have to showcase their data visualization skills in order to simplify the complex dataset through attractive and intricate visualizations, such that anyone can easily understand the crux of the data from it\n\nNote: Any form of Plagiarism won't be allowed and would directly lead to disqualification \nIn case of any disputes, the decision of the organizers would be final and binding on all\n\n\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "abstract", "content": "# CCS'25: ML Wars 🏆\n\n## Event Details\n- **Date & Time:** Jan 17, 9 AM - 9 PM\n- **Team Size:** Up to 3 members\n- **Duration:** 12 hours\n\n## Challenge Categories\n1. **Best Insights from Data**\n - Extract key insights for policy decisions\n - Analyze 20-year heart disease trends in USA\n \n2. **Best Algorithmic Approach**\n - Develop efficient predictive models\n - Focus on accuracy and innovation\n\n3. **Best Data Visualization**\n - Create interactive visualizations\n - Present complex data clearly\n\n# Prize Pool: Rs 10,000\n- 🥇 First Place: Rs 5,000\n- 🥈 Second Place: Rs 2,500\n- 🎨 Best Visualization: Rs 2,500\n\n## Competition Format\n- Present findings in 4 slides report\n- Work with real-world data\n- Submit the Report along with notebook/ codes at end", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }