intermediateCertificateFree
Feature Engineering
by Ryan Holbrook · Kaggle
4.5(5,100 reviews)
250K+ enrolled5 hoursUpdated 2024-03
What You'll Learn
Understand the fundamentals and key concepts of feature engineering
Apply feature engineering techniques to solve real-world problems
Understand the fundamentals and key concepts of PCA
Apply PCA techniques to solve real-world problems
Understand the fundamentals and key concepts of clustering
Apply clustering techniques to solve real-world problems
About This Course
Create better features for ML models using mutual information, clustering, PCA, and target encoding techniques.
Curriculum
Module 1: Feature engineering & PCA6 lessons
- Introduction to feature engineering
- Feature engineering in Practice
- Hands-on Exercise: Feature engineering
- Introduction to PCA
- PCA in Practice
- Hands-on Exercise: PCA
Module 2: Clustering & Target encoding6 lessons
- Introduction to clustering
- Clustering in Practice
- Hands-on Exercise: Clustering
- Introduction to target encoding
- Target encoding in Practice
- Hands-on Exercise: Target encoding
Module 3: Machine learning3 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
Instructor
Ryan Holbrook
Instructor at Kaggle
Pros & Cons
Pros
- Completely free to access
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Ryan Holbrook
Cons
- Self-paced requires discipline
Free
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