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This repo contains code and data for solving a practical clustering problem using the Daily Kos blog entries dataset. The dataset consists of 3420 documents, a vocabulary of 6906 terms, and 467,714 words. The goal is to cluster the documents into meaningful groups based on their content.

Jupyter Notebook 99.94% Python 0.06%
machine-learning machine-learning-algorithms nlp-machine-learning python

cps803-finalproject's Introduction

Hello World👋🏾

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About Me 🤔

My name is Deandra. I am set to graduate from Toronto Metropolitan University (Toronto, Canada) with a Bachelor of Science in Computer Science and a French minor. Soon, I will be working as a Software Engineer at Microsoft. One of my goals is to have a global impact through my work, reaching and influencing people all around the world, which I believe will bring me immense joy and satisfaction. In my free time, I enjoy spending time with friends, learning new languages, and working on side projects. I look forward to future collaborations.


  • 🌱 I’m currently learning C#

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