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DrivenDataGeneral MLIntermediateRegistration unverified

DengAI: Predicting Disease Spread

A intermediate general ml competition requiring roughly 6–16 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
6–16 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewResourcesPreparationSource

Overview

Who this competition fits

Beginners who want a realistic DrivenData practice challenge with clear documentation.

Read the original official blurb
Using environmental data collected by U.S. Federal Government agencies, can you predict the number of dengue fever cases reported each week in San Juan, Puerto Rico and Iquitos, Peru?

Resources

What this competition gives you

Taken from the competition's official page.

  • DataEnvironmental data for weekly dengue prediction in San Juan and Iquitos
  • TutorialBenchmark blog post to help entrants get started
  • Reference paperPaper on climate variables and dengue transmission dynamics
  • Reference paperPaper on climate change and public health implications

Preparation

From registration to a first submission

  1. 01

    Python basics

  2. 02

    pandas

  3. 03

    train/validation split

Before you commit: Even practice competitions still punish weak validation and messy feature handling.

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
DrivenData
Last checked
Not recorded

Entry assessment

est.
82

Strong first competition

Overall fit estimate

Beginner fit82/100
Learning value86/100

Confirm eligibility and time commitment before moving into formal preparation.

18+

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Data and review state

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

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Published on this site
Jul 18, 2026

Cash prize not listed on the home page (common for practice competitions).