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Feature engineering for forecasting


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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

Feature Engineering for Time Series Forecasting

Create lag, window and seasonal features, perform imputation and encoding, extract datetime variables, remove outliers, and more.

Kishan Manani

Kishan Manani

$26.90

Trustpilot

Our books

Python feature engineering cookbook

Feature engineering for machine learning


Feature selection in machine learning

Feature selection in machine learning with Python



Our Python Open-Source


Feature-engine, a python open source library for feature engineering

We are the developers of Feature-engine.




► 100k+ downloads a month

► 1.2k stars on Github

► 40+ contributors

►Feature engineering and selection







Our Instructors


Soledad Galli, data scientist, instructor, open source developer

Soledad Galli, PhD

Lead Data Scientist


Kishan Manani, data scientist, instructor

Kishan Manani, PhD

Lead Data Scientist