Feature engineering For Machine Learning 101

Feature Engineering | Machine Learning | Artificial Intelligence | Chat GPT | AI Agent

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.

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