Learn essential feature engineering techniques to optimize data for machine learning, from transforming variables to enhancing model performance, in this comprehensive and practical course.
Learn essential feature engineering techniques to optimize data for machine learning, from transforming variables to enhancing model performance, in this comprehensive and practical course.
Optimize model performance through
Optimize model performance through targeted feature selection, boosting accuracy and efficiency of predictive algorithms.
Enhance data interpretability
Enhance data interpretability by transforming raw inputs into meaningful, informative features, facilitating clearer insights.
Mitigate overfitting risks
Mitigate overfitting risks by crafting robust features that capture essential patterns while minimizing noise.
Accelerate innovation
Accelerate innovation by mastering advanced techniques to engineer features tailored to diverse machine learning tasks.
Each block is one module, sized by session length.
What are the anomalies?Reading
Methods for Anomaly DetectionReading
Isolation ForestReading
Local Outlier FactorReading
Hands-on implementation of Anomaly DetectionReading
Video Tutorial on Anomaly Detection7m
Hands-on implementations explained4m
Codes for PracticeReading
04 · Is it for you?
Who it's for, and what to bring.
Built for
Beginners
Bring with you
Learn essential feature engineering techniques to optimize data for machine learning, from transforming variables to enhancing model performance, in this comprehensive and practical course.
05 · FAQ
Before you enrol.
Each of the 9 modules is a recorded live session, with readings from that session. Watch at your own pace.
$24.99
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