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  3. Create the Perfect Party Playlist!

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DataCampTime SeriesIntermediateRegistration unverifiedRegistration unverified

Create the Perfect Party Playlist!

Learners with some ML coursework who want a structured DataCamp-style project sprint.

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

55/100

Higher means a safer real starting point for your current stage.

Learning value

74/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

10-24 hours

Use this to check whether the task fits your current time budget.

Metric

[object Object],[object Object],[object…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

Learners with some ML coursework who want a structured DataCamp-style project sprint.

Official blurb (unedited)
It's that vibrant time of year again - Summer has arrived (for those of us in the Northern Hemisphere at least)! There's an energy in the air that inspires us to get up and move. In sync with this exuberance, your company has decided to host a dance party to celebrate. And you, with your unique blend of creativity and analytical expertise, have been entrusted with the crucial task of curating a dance-themed playlist that will set the perfect mood for this electrifying night. The question then arises - How can you identify the songs that would make the attendees dance their hearts out? This is where your coding skills come into play. Your task is to devise an analytically-backed, dance-themed playlist for the company's summer party. Your choices must be justified with a comprehensive report explaining your methodology and reasoning. Below are some suggestions on how you might want to start curating the playlist: Scoring notes: [object Object],[object Object],[object Object],[object Object]

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

Python or R basics

DataCamp / DataLab workflow

pandas or tidyverse

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

Task framing and scoring details live in the notebook; weak validation still hurts rankings.

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

How to learn feature engineering, validation, and competition workflow without heavy hardware.

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Your decision

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Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
$500
Compute
CPU only
Official metric
[object Object],[object Object],[object Object],[object Object]
Verification
Source page verified

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Official source

Rules, files, submission details, and the live deadline still come from the official page.

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Source published
Aug 9, 2023
Source created
Aug 9, 2023
Published on this site
Jul 18, 2026