# GDG-DTU ML Specialization 2nd Competition — Data

来源：https://www.kaggle.com/competitions/gdg-dtu-ml-specialization-2nd-competition/data

采集时间：2026-10-19T15:13:17Z

For this challenge, you are given (simulated) manufacturing control data that can be clustered into different control states. Your task is to cluster the data into these control states. You are not given any training data, and you are not told how many possible control states there are. This is a completely unsupervised problem, one you might encounter in a real-world setting.

Good luck!

## Files

*   **data.csv** - the file includes continuous and categorical data; your task is to predict which rows should be clustered together in a control state
*   **sample_submission.csv** - a sample submission file in the correct format, where `Predicted` is the predicted control state