ML Application · Jupyter Notebook

drone-position-clustering

A beginner-friendly ML project that estimates hidden drone positions from spark clouds using K-Means clustering and predicts future movement with linear regression.

Pop Alexandru@pop123-ux · Atlas 70.7 · #4= builder

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What it is

The repository provides an end-to-end machine learning pipeline that uses K-Means clustering to estimate drone positions from spark observations and linear regression to predict future positions, producing a submission CSV file.

Scored from the code at its last scan, 12 Oct 2026. How merit is scored

Where it counts

Machine Learning88%
Data Science62%
Computer Vision5%
MLOps5%

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What it is

Where it counts

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