Overview
Who this competition fits
Learners with some ML coursework who want a structured DataCamp-style project sprint.
Read the original official blurb
You work for a manufacturer of high-precision metal components used in aerospace, automotive, and medical device applications. Your company operates three different machines on its shop floor that produce different-sized components, so minimizing the downtime of these machines is vital for meeting production deadlines. Choose your difficulty level! You decide how challenging this competition will be. Depending on your skill level, decide on which aspect you want to focus. Each difficulty level uses the same dataset, but each time with increasing difficulty. In this third level, you're going to develop a predictive model that could be combined with real-time operational data to detect likely machine failure. This level is aimed towards advanced learners. If you want to challenge yourself a bit less, check out the other levels! Create a report that covers the following: Scoring notes: [object Object],[object Object],[object Object],[object Object]
Preparation
From registration to a first submission
- 01
Python or R basics
- 02
DataCamp / DataLab workflow
- 03
pandas or tidyverse
Before you commit: Task framing and scoring details live in the notebook; weak validation still hurts rankings.
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 18, 2024