Feature Engineering with Python (Intermediate): Make Models Work Better
Learn practical feature engineering patterns: encoding, scaling, leakage avoidance, and strong baselines.
Learn practical feature engineering patterns: encoding, scaling, leakage avoidance, and strong baselines.
Many ML improvements come from better features. This course teaches real feature engineering patterns and how to avoid common mistakes like data leakage.
7–11 hours (self-paced).
Python fundamentals
Basic ML understanding (train/test, metrics)
Comfort with Pandas is helpful
Build stronger ML features
Avoid leakage pitfalls
Improve baseline performance
Create reusable feature pipelines
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Students
0
Language
English
Duration
10h 30mLevel
intermediate
Expiry period
Lifetime
Certificate
yes
Dr. Kay
English
Certificate Course
0 Students
10h 30m
92 Courses
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