Introduction to Feature Engineering in R
What is Feature Engineering?
Feature engineering is the process of transforming raw data into meaningful variables that improve machine learning model performance. Well-designed features can significantly increase the predictive power of models.
Why Feature Engineering Matters
- Improves model accuracy
- Reduces noise in datasets
- Creates meaningful variables
- Helps machine learning algorithms learn patterns
r
data$power_ratio <- data$hp / data$wt
Next Tutorial: Feature Scaling in R
