OngoingOnline · Education · advanced · machine-learning, climate-science, kaggle
A Kaggle competition challenging participants to build ML models that emulate climate extremes using the NorESM2-MM dataset. Targeted at data scientists and researchers, it focuses on regression and probabilistic modeling skills to predict heat, drought, and flood indices.
OngoingOnline · Education · intermediate · machine-learning, classification, data-science
This online competition challenges participants to build a machine learning model predicting student course completion using behavioral and academic data. It targets data science practitioners who need to demonstrate skills in classification, feature engineering, and explainable
OngoingOnline · Education · intermediate · computer-vision, machine-learning, wildlife-management
A free online hackathon where participants build machine learning tools to analyze trail camera images for wildlife research. Teams will predict deer attributes like antler status and age using computer vision techniques.
Registration openChennai · Tech · intermediate · neuroscience, machine-learning, python
A two-round hackathon where students use Python and machine learning to classify human emotions from real EEG brainwave signals. Open to undergraduates and postgraduates of any discipline, featuring an online quiz followed by a 24-hour offline challenge at IIT Madras.
OngoingOnline · Tech · advanced · llm, membership-inference, code-evaluation
A technical competition challenging teams to build algorithms that detect if specific code files were used in training Large Language Models. Participants will perform file-level membership inference on code datasets using Python and machine learning techniques, with submissions
OngoingOnline · Tech · advanced · ai, optimization, machine-learning
A global online competition focused on optimizing inference throughput for the MiniCPM5-2B large language model using distributed systems and low-level optimizations. Teams compete to improve latency and memory efficiency without sacrificing accuracy, utilizing frameworks like Fl
OngoingOnline · Education · intermediate · binary-classification, machine-learning, healthcare
A free online competition where participants build binary classifiers to distinguish malignant from non-malignant skin lesions using the HAM10000 dataset. The event targets data scientists and healthcare researchers focusing on machine learning and medical imaging.
OngoingOnline · Tech · intermediate · machine-learning, data-science, competition
A free online data science competition challenging participants to build a supervised machine learning model that predicts Laysan Albatross sex from body measurements. Targets data scientists and researchers aiming to apply binary classification techniques to conservation problem
OngoingOnline · Education · intermediate · data-science, machine-learning, prediction
A free online data science competition where participants build machine learning models to predict long-term marriage longevity based on birth dates and locations. Targeted at students and professionals skilled in Python and binary classification, the challenge uses a temporal da
OngoingOnline · Education · intermediate · data-science, machine-learning, prediction
A free online data science competition challenging participants to build an astrological model that predicts whether a relationship lasted 30+ years. Using historical Wikidata records of birth dates and locations, competitors must create a genderless, order-agnostic prediction mo
Atlanta · Tech · intermediate · hackathon, data-science, machine-learning
A 36-hour data science hackathon at Georgia Tech focusing on AI, machine learning, and data analytics. Open to global participants for building projects, networking, and competing in a high-octane environment.
OngoingOnline · Education · intermediate · audio-classification, nlp, speech-processing
A free Kaggle competition where participants reorder shuffled audio segments of spoken dialogues using NLP and speech models like Whisper and Qwen2.5. Targeted at students and data scientists practicing sequence modeling and audio processing.