Decision Tree & Random Forest Regression

The decision tree builds regression models in the form of a tree structure. It breaks down a dataset into smaller subsets while at the same time an associated decision tree is incrementally developed. Random Forest Regression is an ML algo that uses ensemble learning methods for regression, that combines predictions from multiple ML algorithms to make a more accurate prediction than a single model

Oct 8, 2020, 3:00 – 4:30 PM

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Key Themes

Machine Learning

About this event

Workshop 08 | Machine Learning: Zero to Hero

The decision tree builds regression or classification models in the form of a tree structure. It breaks down a dataset into smaller and smaller subsets while at the same time an associated decision tree is incrementally developed. The final result is a tree with decision nodes and leaf nodes.

Random Forest Regression is a supervised learning algorithm that uses ensemble learning methods for regression. The ensemble learning method is a technique that combines predictions from multiple machine learning algorithms to make a more accurate prediction than a single model.

In this detailed workshop, we will understand the core concepts of Tree-based ML Models and will implement both techniques, Decision Tree & Random Forest Regression.

When

When

Thursday, October 8, 2020
3:00 PM – 4:30 PM UTC

Agenda

3:00 PMIntroduction to Tree Based Regression
3:20 PMIntroduction Decision Tree
3:25 PMPython Implementation of Decision Tree
3:35 PMIntroduction to Random Forest
3:40 PMPython Implementation of Random Forest
4:00 PMRecap & Comparison
4:10 PMQ/A

Speaker

  • Muhammad Huzaifa Shahbaz

    Lenaar Digital

    Co-founder

Partners

Amal4Ajar logo

Amal4Ajar

IEEE Computer Society SSUET logo

IEEE Computer Society SSUET

Women in Engineering - Sir Syed University logo

Women in Engineering - Sir Syed University

IEEE SSUET - Student Branch logo

IEEE SSUET - Student Branch

Office of Research, Innovation & Commercialization - ORIC logo

Office of Research, Innovation & Commercialization - ORIC

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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