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Module 6 of 6
Data Wrangling for ML
Practical skills for preparing data before it hits a model.
Progress0/2 drills · 0%
FREE~18 min·Beginner
What you'll learn
- ✓Min-max normalization and standardization
- ✓One-hot encoding and train/test splitting
Prerequisites
Drills
1
Normalization & Standardization
Implement min-max normalization and z-score standardization — essential preprocessing for any ML pipeline.
Easy🕐 8m⚡ 10 pts
2
One-Hot Encoding & Train/Test Split
Implement one-hot encoding and a shuffled train/test split — the final step before training.
Easy🕐 10m⚡ 10 pts