Data Refinement: Preprocessing for Insightful Modeling

National Engineering School of Tunis, Rue Béchir Salem Belkhiria Campus universitaire, BP 37,, Tunis, 1002

Get ready for a hands-on Data Preprocessing Workshop! We're keeping it real by focusing on practical skills to clean and organize your data. No fluff, just straightforward techniques to handle the messy stuff. Join us and gain the real-world know-how to make your data work for you. Let's dive into the nitty-gritty of data preprocessing together!

Nov 29, 2023, 2:00 – 4:00 PM



Key Themes

Explore MLMachine Learning

About this event

Welcome to our Data Preprocessing Workshop! In this engaging session, we will dive into the crucial realm of data preprocessing, demystifying the art of transforming raw data into a pristine and analytically potent form.

Workshop Highlights:

1. Introduction to Data Quality: Understand the significance of high-quality data and how it forms the foundation for robust analyses and machine learning models.

2. Hands-on Data Cleaning: Learn essential techniques to identify and handle missing values, outliers, and other imperfections in your dataset.

3. Interactive Activities: Engage in interactive exercises to grasp the nuances of data quality through real-world scenarios and practical challenges.

4. Tidy Data Principles: Explore the principles of tidy data and understand why it is crucial for effective data analysis and visualization.

5. Transition from Messy to Tidy Data: Witness the transformation of messy, untidy data into an organized and structured format, paving the way for insightful analyses.

6. Case Studies and Examples: Delve into case studies and practical examples that showcase the impact of data preprocessing on downstream tasks, including machine learning.

7. Q&A and Discussion: Have your questions answered and participate in discussions to deepen your understanding of data preprocessing concepts.

Key Takeaways:

- Gain practical skills in data cleaning and transformation.

- Understand the importance of tidy data for effective analysis.

- Learn strategies to handle real-world data imperfections.

- Explore the connection between data quality and machine learning outcomes.

Join us on this data refinement journey, where we'll empower you with the knowledge and tools to turn raw data into a valuable asset for informed decision-making. Let's unlock the true potential of your datasets together!


  • Ayoub Bnina

    Tunis El Manar University (FST)

    Machine Learning Department Manager @GDSC ENIT


  • Achref Tellili

    GDSC Lead


    GDSC Mentor

  • Ayoub Bnina

    Tunis El Manar University (FST)

    Machine Learning Manager

  • Ahmed Aziz Daoud

    Competitive Programming Manager

  • Hana Feki

    GDSC Enit

    HR Manager

  • Mohamed Mahdi

    Marketing Manager

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