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DBSCAN Clustering

Sir Syed University of Engineering & Technology - Karachi, Pakistan

DBSCAN is a density-based clustering non-parametric algorithm: given a set of points in some space, it groups together points that are closely packed together, marking as outliers points that lie alone in low-density regions. DBSCAN is one of the most common clustering algorithms and also most cited in the scientific literature. So this will be our second workshop on Clustering.

Oct 16, 2020, 3:00 – 4:30 PM

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Key Themes

Machine Learning

About this event

Workshop 16 | Machine Learning: Zero to Hero
DBSCAN is a density-based clustering non-parametric algorithm: given a set of points in some space, it groups together points that are closely packed together, marking as outliers points that lie alone in low-density regions. DBSCAN is one of the most common clustering algorithms and also most cited in the scientific literature. So this will be our second workshop on Clustering.

When

When

Friday, October 16, 2020
3:00 PM – 4:30 PM UTC

Agenda

Intro to DBSCAN Clustering

Dataset Loading

Training ML Model

Q/A

Speaker

Muhammad Huzaifa Shahbaz

Lenaar Digital

Co-founder

Organizers

Laiba Rafiq

GDSC Lead

Maaz Farman

SPARK⚡BIZ

Community Mentor

shayan faiz

techrics

Outreach Coordinator

Muhammad Ahmer Zubair

Sharp Edge

Media Creative Lead

Ehtisham Ul Haq

Tech Lead

Mohammad Nabeel Sohail

AI and Chatbot Developer | Full Stack Web | PAFLA Ambassador | Public Speaker | Trainer

Communications Lead

Kashan Khan Ghori

Softseek International

Operations Lead

Daniyal Jamil

Technology Links

Marketing Lead

Sami Faiz Qureshi

ConciSafe

Event Management Lead

Maham Amjad

Content Writing Lead

Syed Affan Hussain

HnH Soft Tech Solutions Pvt Ltd

Host

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