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
开源是打开未来技术世界的钥匙，为了真正实现「人人都可以参与开源」，现推出开发者激励活动！本次活动无差别面向广大开发者，不管你是第一次接触开源社区的萌新小白，还是驰骋各大开源社区的高手常客，我们提供了数千个入门型、进阶型任务，并准备了上千份实物激励，邀你一起玩转龙蜥，成为开源贡献者，和龙蜥社区共同成长！（注：本赛事为长期活动，从2024.2.1起即可报名参与。） Official category: 训练学习赛. Organizers: 龙蜥社区，阿里云. Competition code: 2023OOSC135. Participants: 199.
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
- Jan 30, 2024