April Online Session: Feature Engineering for Machine Learning

### April Online Session: Feature Engineering for Machine Learning

💡 Want to boost your ML model’s performance? Feature Engineering is the key!
Feature Engineering is one of the most critical steps in building high-performing machine learning models. It involves transforming raw data into meaningful features that improve model accuracy and efficiency. In this hands-on session, we’ll cover the essential techniques and best practices for creating high-quality features.

### What You’ll Learn:

✅ Understanding the role of feature engineering in ML
✅ Handling missing data and outliers effectively
✅ Encoding categorical variables (One-Hot, Label Encoding)
✅ Scaling and normalizing numerical data
✅ Creating new features from existing ones
✅ Using feature selection techniques to improve models

### Who Should Attend?

📊 Data Scientists & ML Practitioners looking to improve model performance
🔍 Data Analysts who want to enhance their analytical skills
🚀 Anyone interested in machine learning and feature engineering
📌 Prerequisites: Basic knowledge of Python and machine learning concepts

📅 Date: 8th April, 2025
🕕 Time: 1800 London Time
🌍 Where: Online (Link provided upon registration)

🔗 Register Now & Take Your ML Skills to the Next Level!
#MachineLearning #FeatureEngineering #DataScience #MLClub #PythonML