From Raw Data to Insights – Internal Workshop for the Machine Learning Department

Join us for an exclusive internal workshop led by Rined Lazreg, Machine Learning Manager, designed specifically for the Machine Learning department. This hands-on session will take you through the crucial steps of data preprocessing, an essential skill for building high-performing models.

📅 Date & Time:

🗓 Sunday, 09/02/2025

⏰ 10 AM – 12 PM (2 hours)

📍 Location: Online

🔑 Key Themes:

Data Visualization: Explore different techniques to uncover key patterns in datasets.

Data Scaling: Understand how to normalize and standardize data for better model performance.

Feature Engineering: Develop new features to improve predictive accuracy and enhance insights.

🚀 Why Attend?

✅ Hands-on experience with real-world datasets

✅ Learn industry-standard data preprocessing techniques

✅ Improve feature engineering skills for more accurate predictions

💡 What You’ll Learn:

How to create effective data visualizations using Python

Techniques for scaling and normalizing data for machine learning models

Strategies for feature engineering to improve model performance

👥 Who Should Attend?

🔹 Machine Learning Department Members seeking to refine their skills

🔹 Data professionals looking to enhance their preprocessing expertise

🔹 Anyone in the team interested in optimizing data for better insights

📌 What to Expect?

🔹 Interactive exercises: Hands-on coding with guided walkthroughs

🔹 Practical insights: Real-world case studies and best practices

🔹 Access to materials: Workshop datasets and code examples

Whether you're new to data preprocessing or looking to sharpen your skills, this session provides the practical techniques needed to turn raw data into actionable insights.

🚀 Don’t miss this opportunity to enhance your data science workflow!