Feature Engineering for Machine Learning 101 — Made Easy!
Unlock the secret to high-performing machine learning models by mastering feature engineering — the skill that separates beginners from real data pros!
This beginner-friendly course breaks down everything you need to know, with real-world examples and hands-on practice using the Titanic dataset and Google Colab. Whether you’re new to ML or want to solidify your data skills, this course is for you.
What You’ll Learn:
1- Data Types Demystified:
What are Nominal, Ordinal, Interval, and Ratio features?
How to visualize and understand feature types intuitively.
2- Handling Missing Data Like a Pro:
Learn what missing values are and why they matter.
Techniques to fill in missing numerical and categorical features.
3-Smart Feature Selection:
Use ANOVA F-Test, Chi-Square, and RFE to keep only the features that matter.
Build leaner, faster, and smarter ML models.
4- Bonus: Feature Engineering with ChatGPT!
Learn how to generate new features using AI.
Build advanced features automatically using ChatGPT prompts — no coding stress!
Why This Course?
No advanced math required.
Designed for complete beginners.
Explains concepts in simple, engaging language.
You'll walk away with skills you can use in any ML project.
If you're serious about improving model accuracy, boosting predictive power, and learning a skill that’s in high demand, this is your course.
