Machine learning Session Heart Disease Pt and Car sales

AAST, Nozha, El Nozha, 4471312


Apr 22, 3:45 – 4:45 PM



Key Themes

Machine Learning

About this event

Machine Learning Double Feature: Hearts & Highways!

Ever wondered how machine learning can be applied to vastly different areas? This session explores its power to both predict heart disease risk and estimate car sale prices!

We'll split our time into two engaging modules:

Module 1: Decoding the Heart - Machine Learning for Heart Disease Classification

Learn how machine learning algorithms analyze patient data (age, blood pressure, etc.) to identify patterns associated with heart disease.

Discover different algorithms like Random Forests and understand how they "learn" from data to predict risk.

Discuss the ethical considerations of using AI in healthcare diagnosis.

Module 2: Hitting the Road with Machine Learning - Predicting Car Sale Prices

Explore how machine learning models can analyze car features (mileage, year, make, etc.) to estimate a fair market value.

Understand how these models can benefit both buyers and sellers in the car market.

Learn about the importance of data cleaning and feature engineering for accurate predictions.

This session is perfect for:

Individuals curious about the versatility of machine learning.

Those interested in both healthcare applications (heart disease) and practical uses (car sales).

Anyone with a basic understanding of data and who wants to see machine learning in action.

The format will be a mix of:

Clear explanations from our expert instructors.

Interactive visualizations to understand the concepts.

Real-world examples to showcase the impact of machine learning.

By the end of this session, you'll gain a broader perspective on how machine learning shapes diverse fields, from healthcare to the car market!



Monday, April 22, 2024
3:45 PM – 4:45 PM UTC


  • Abdelrahman Soliman

    GDSC Lead

  • Ahmed Khairallah

    Web Development Head

  • Mohamed Gharib


    Head of Logistics

  • Jana Muhamad


    Core Team Director

  • Ali ElSharkawi

    Machine Learning & AI head

  • Yahya Ayman

    Cyber Security Head

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