Feature Engineering

DEDAN KIMATHI UNIVERSITY, RC 15, Nyeri, 12345

Join us for an interactive session on feature engineering with Python, where you'll learn to transform raw data into powerful features that enhance your machine learning models. This hands-on workshop will cover essential techniques and best practices to help you extract the most value from your data.

Jun 11, 2:00 – 5:00 PM

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Key Themes

Machine Learning

About this event

Unlock the full potential of your data with our practical session on feature engineering using Python! In this workshop, you will dive into the art and science of creating meaningful features that can significantly boost the performance of your machine learning models.

We will start with a brief overview of feature engineering concepts and their importance in the machine learning pipeline. Then, through a series of hands-on exercises, you'll learn how to:

  1. Handle missing values and outliers
  2. Convert categorical data into numerical format
  3. Generate new features through polynomial combinations and interactions
  4. Scale and normalize data
  5. Utilize domain knowledge to create meaningful features

By the end of this session, you will have the skills and confidence to apply feature engineering techniques to your own projects, ultimately improving your model's accuracy and effectiveness. This workshop is ideal for data scientists, machine learning enthusiasts, and anyone looking to enhance their data preprocessing skills. Bring your laptop and get ready to code!

When

When

Tuesday, June 11, 2024
2:00 PM – 5:00 PM UTC

Organizers

  • Mark Gatere

    GDSC Lead

  • Brian Muchai

    GDSC Co-Lead

  • Emmanuel Mutua

    Dekut

    Android Aficionado

  • Festus Gitahi

    Web Development Wonder

  • OMBATI OGETO BRIAN

    AI Visionary

  • Victor Mutethia

    Flutter Extraordinaire

  • george kimani

    UI/UX Maestro

  • Mergery Mukoma

    Game Dev Connoisseur

  • Nickson Kiprotich

    IoT Luminary

  • AMANDA FLAVIA AHONA

    Cybersecurity Sentinel

  • Ruth Kamau

    Events / Social Media Maven

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