OngoingOnline · Education · advanced · climate-science, machine-learning, uncertainty-quantification
An optional research track for the ClimX challenge where participants develop probabilistic models to predict 15 climate extreme indices by outputting quantile distributions rather than deterministic points. This free online competition targets researchers and data scientists aim
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 · Tech · intermediate · rag, ai, sustainability
Build a RAG system to answer questions about AI's energy and water usage using 100+ research papers and reports. This free online competition tests skills in retrieval, citation accuracy, and sustainable AI analysis for students and professionals.
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 · machine-learning, classification, nlp
A free online machine learning competition to classify multiple-choice questions from Russian state exams (ЕГЭ/ОГЭ) across 16 subjects including physics, math, and foreign languages. Participants build models for multi-class text classification using unique, non-leaked labels gen
Ongoing since 2018Online · Education · intermediate · kaggle, machine-learning, python
A free online competition for data science students and learners to practice predicting housing prices using regression techniques like random forest and gradient boosting. Participants apply feature engineering in R or Python to minimize RMSE errors on a dataset of Ames, Iowa ho
Ongoing since 2019Online · Education · beginner · nlp, machine-learning, kaggle
A free Kaggle competition teaching beginners how to build NLP models for binary classification of disaster tweets. Participants use Python and machine learning to predict if tweets describe real emergencies versus metaphors.