Coming soon...




New course

Feature engineering for time series forecasting




Second edition

Python Feature Engineering Cookbook



Our courses

Feature Engineering for Machine Learning

Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more.

Soledad Galli

Soledad Galli

$19.99

Feature Selection for Machine Learning

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.

Soledad Galli

Soledad Galli

$19.99

Hyperparameter Optimization for Machine Learning

Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.

Soledad Galli

Soledad Galli

$19.99

Machine Learning with Imbalanced Data

Learn to over-sample and under-sample your data, apply SMOTE, ensemble methods, and cost-sensitive learning.

Soledad Galli

Soledad Galli

$19.99

Our bundles


All our courses!

Lifetime access to our four courses at a fraction of the cost.

Courses: 4 Coaching: 0

$49.99

Feature engineering and selection

Lifetime access to our 2 most popular courses at a reduced price.

Courses: 2 Coaching: 0

$35

Our Python Open-Source

➊ Transformers for feature engineering and creation.


feature selection techniques and tools➋ Algorithms for feature selection.


feature engineering tutorials and demos➌ Extensive docs and demos.



Our book




➊ 70+ feature engineering recipes.


➋ Open source code implementations.


➌ Work with different data sources.




Python Feature Engineering Cookbok by Soledad Galli

Our Instructors

Soledad Galli, data scientist, instructor, open source developer

Soledad Galli, PhD

Lead Data Scientist


Kishan Manani, PhD

Kishan Manani, PhD

Lead Data Scientist




Chris Samiullah

Chris Samiullah

Senior Software Developer