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DataCampGeneral MLBeginnerRegistration unverifiedRegistration unverified

Where to open a new coffee shop?

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

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Suggested next step

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

Beginner score

88/100

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

Learning value

86/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

6-14 hours

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

Metric

This is a community-based competition.…

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

Who this competition fits

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

Official blurb (unedited)
You are helping a client who owns coffee shops in Colorado. The company's coffee shops serve high-quality and responsibly sourced coffee, pastries, and sandwiches. They operate three locations in Fort Collins and want to expand into Denver. Your client believes that the ideal location for a new store is close to affluent households, and the store appeals to the 20-35 year old demographic. Your team collected geographical and demographic information about Denver's neighborhoods to assist the search. They also collected data for Starbucks shops in Denver. Starbucks and the new coffee shops do not compete for the same clients; the team included their location as a reference. Provide your client a list of neighborhoods in Denver where they should consider expanding. Include: Scoring notes: This is a community-based competition. The top 5 most upvoted entries will win.

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.

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

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.

No GPU? Pick Competitions That Still Teach You Good Habits

Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
SWAG
Compute
CPU only
Official metric
This is a community-based competition. The top 5 most upvoted entries will win.
Verification
Source page verified

Registration is unverified; confirm availability on the official page before investing.

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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
Jul 13, 2022
Source created
Jul 13, 2022
Published on this site
Jul 18, 2026