Overview
Who this competition fits
Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
KWDB 是开放原子开源基金会孵化及运营的面向 AIoT 物联网场景的分布式多模数据库项目。该赛项旨围绕KWDB数据库核心技术难点进行开放性的协同共创，目标是通过激发开发者创新潜能并促进优质技术成果转化，为企业构建高效、灵活、智能的数据底座提供关键支撑，有力助推各行业的数智化建设进程与企业整体竞争力提升。 Official category: 实战竞技赛. Organizers: 浪潮 KaiwuDB. Competition code: 2025OAC003. Participants: 10.
Preparation
From registration to a first submission
- 01
Python
- 02
scikit-learn or similar ML library
- 03
data analysis with pandas
Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- OpenAtom
- Last checked
- Jul 17, 2025