Feature engineering For Machine Learning 101
Feature engineering For Machine Learning 101, Feature Engineering | Machine Learning | Artificial Intelligence | Chat GPT | AI Agent.
Course Description
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.
