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DataCampGeneral MLBeginnerRegistration unverified

Reducing the Number of High Fatality Accidents

A beginner general ml competition requiring roughly 6–14 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
6–14 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Beginners who want a low-friction first competition on a learning platform with DataLab notebooks.

Read the original official blurb
You work for the road safety team within the department of transport and are looking into how they can reduce the number of major incidents. The safety team classes major incidents as fatal accidents involving 3+ casualties. They are trying to learn more about the characteristics of these major incidents so they can brainstorm interventions that could lower the number of deaths. They have asked for your assistance with answering a number of questions. Create a report that covers the following: Scoring notes: [object Object],[object Object],[object Object],[object Object]

Preparation

From registration to a first submission

  1. 01

    Python or R basics

  2. 02

    DataCamp / DataLab workflow

  3. 03

    pandas or tidyverse

Before you commit: Even learning competitions can stall if you have never turned analysis into a clean submission notebook.

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
DataCamp
Last checked
Nov 10, 2021

Entry assessment

est.
88

Strong first competition

Overall fit estimate

Beginner fit88/100
Learning value86/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

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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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Source page verifiedMetric confirmedReviewed
Source published
Nov 10, 2021
Source created
Nov 10, 2021
Published on this site
Jul 18, 2026