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Lab for Parallel Computing and Machine Learning

This repository contains the solutions and implementations for the lab exercises in Parallel Computing and Machine Learning. Each question is organized into its own folder, with code, explanations, and results where applicable. The lab covers topics such as threading, feature extraction, clustering, classification, and ensemble methods using Python and C++.

Folder Structure

Below is the list of lab questions with links to their respective folders. Completed questions are marked with a ✅.

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