Tavondo
CompetitionsEventsGuidesPlatforms
中文Start matching
CompetitionsEventsGuidesPlatforms
中文Sign in
Tavondo

Find AI competitions and events worth your time.

CompetitionsEventsGuidesPlatforms
Sign inRegisterStart matching

© 2026 Tavondo

中文
  1. Home
  2. Competitions
  3. 【教学赛】数据分析达人赛3:汽车产品聚类分析
TianchiGeneral MLBeginnerRegistration unverified

【教学赛】数据分析达人赛3:汽车产品聚类分析

A beginner general ml competition requiring roughly 8–20 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
8–20 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Learners who want Chinese-language Tianchi practice or daily learning style challenges.

Read the original official blurb
赛题以竞品分析为背景,通过数据的聚类,为汽车提供聚类分类。对于指定的车型,可以通过聚类分析找到其竞品车型。通过这道赛题,鼓励学习者利用车型数据,进行车型画像的分析,为产品的定位,竞品分析提供数据决策。 Official category: Daily Learning Competition (日常学习赛). Official tags: 汽车. Teams entered: 7799.

Preparation

From registration to a first submission

  1. 01

    Python basics

  2. 02

    pandas

  3. 03

    train/validation split

Before you commit: Even learning-oriented Tianchi races can still punish weak validation or misunderstanding of submission rules.

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
Tianchi
Last checked
Apr 16, 2021

Entry assessment

est.
78

Worth shortlisting

Overall fit estimate

Beginner fit78/100
Learning value82/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Competition ends
Mar 29, 2026

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Apr 16, 2021
Published on this site
Jul 18, 2026

Official metric is not published on the Tianchi competition listing; scoring rules should be verified on the competition page.

This record is a track under a Tianchi series competition; prize amounts may be series-level totals.