MLX - Kaggle Model Building

Join our WhatsApp Community: WhatsApp CommunityIn the world of kung fu, true masters train their minds to predict every move before it happens. Inspired by this spirit of intelligence and discipline, MLX is the ultimate Machine Learning battleground under Festival Session Zero 2026, organized by Google Developers Group on Campus - Heritage Institute of Technology. MLX is a Kaggle-style model building competition where data warriors from across the valley compete to train the most accurate, efficient, and intelligent machine learning models. Participants will battle through datasets, algorithms, feature engineering, and optimization challenges to climb the leaderboard and prove their mastery of AI. ️ Just like Po mastering the Dragon Scroll, participants must combine strategy, patience, experimentation, and creativity to unlock the true power hidden inside data. From prediction models to intelligent AI systems, every submission represents a unique fighting style in the arena of machine learning. Whether you are a beginner learning your first algorithm or a master optimizing advanced models, MLX welcomes every warrior ready to transform raw data into powerful intelligence. Probable Domains of the Dataset Predictive Modeling NLP & Text Analysis Classification & Regression Deep Learning Data Analytics Guidelines  Participants can compete individually or in teams of up to 3 members, and both inter-college as well as inter-specialization teams are allowed in the arena. Teams must build and submit machine learning models based on the provided dataset and challenge statement during the competition. Participants are encouraged to focus on accuracy, innovation, optimization, explainability, and efficient model building while maintaining the spirit of fair competition. Any machine learning framework, programming language, or open-source library may be used for model development and experimentation. Participants should carry their own laptops and required software setup for training, testing, and submission of models. Rules  All submitted models and solutions must be original work created by the participating team or individual. Participants must use given datasets, pretrained models, and AI tools only if permitted within the challenge guidelines. Any form of plagiarism, leaderboard manipulation, or unfair collaboration between teams will lead to immediate disqualification from the arena. Teams must submit their prediction files, notebooks, or solution approaches within the allotted submission timeline of the competition. The final leaderboard ranking and judges’ decisions will be considered final, and organizers reserve the right to modify rules if required for the smooth execution of the event. ️ Event Essence MLX is where data becomes wisdom, models become weapons, and every participant fights to earn the title of the true Dragon Warrior of Machine Learning.