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@feature-engine

Feature-engine

My name is Sole, the leading instructor atTrain in Data and the maintainer ofFeature-engine,and together with a group of passionate data scientists and software developers, we maintain and expand the functionality of this Python library for feature engineeringand feature selection for machine learning and its documentation, so you can better prepare your data to craft more powerful and interpretablemachine learning models.

AtTrain in Data, we create intermediate and advanced online courses on machine learning, data science and AI software development, to help you boostyour data science skills and leverage the power of this and other popular Python libraries, to create faster and robust machine learning pipelines.

We talk, blog and participate in podcasts about machine learning, software development and open-source, so you'll hear about us a lot on the digitalsphere ;)

Online Courses

Check out the courses that we teach.

CoursesWhat you will learn
Feature engineering for machine learningLearn to create new features, impute missing data, encode categorical variables, transform and discretize features and much more.
Feature selection for machine learningLearn to select features using wrapper, filter, embedded and hybrid methods, and build simpler and reliable models.
Hyperparameter optimization for machine learningLearn about grid and random search, Bayesian Optimization, Multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize and more.
Machine learning with imbalanced dataLearn about under- and over-sampling, ensemble and cost-sensitive methods and improve the performance of models trained on imbalanced data.
Feature engineering for time series forecastingLearn to create lag and window features, impute data in time series, encode categorical variabes and much more, specifically for forecasting.
Forecasting with Machine LearningLearn to perform time series forecasting with machine learning models like linear regression, random forests and xgboost.
Machine Learning InterpretabilityLearn to interpret the predictions of your white box and black box machine learning models.

Books

Find out more about machine learning through our books, and have the code at your fingertips.

BooksSummary
Python feature engineering Cookbook, third editionOver 70 Python recipes to implement feature engineering in tabular, transactional, time series and text data.
Feature selection in machine learningOver 20 methods to select the most predictive features and build simpler, faster, and more reliable machine learning models.

Open-source

The open-source libraries I contribute to.

LibraryAboutSponsor us
Feature-engineMultiple transformers for missind data imputation, categorical encoding, variable transformation and discretization, feature creation and more.Sponsor us

Our contributors

Get to know who's behind Feature-engine scene.

InstructorRole
Soledad GalliMaintainer

Follow us

Follow us on social media or through our website to be up to date with our latest news.

MediaSummary
Train in DataEnroll in our courses and books
LinkedInI talk about data science, machine learning and how to become a data scientist.
BlueSkyI post about data science, machine learning and how to become a data scientist.
NewsletterI talk about data science, machine learning and how to become a data scientist.
BlogI write about data science, machine learning, feature engineering and selection and more.

Sponsor Feature-engine

Help me gather a team of regular software developers and data scientists to fast track the development of Feature-engine's functionality anddocumentation. Joing our sponsors throughGithub sponsors orBuy me a coffeeand help us democratize data science and machine learning tools and knowledge!


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We hope to see you around.

Popular repositoriesLoading

  1. feature_enginefeature_enginePublic

    Feature engineering package with sklearn like functionality

    Python 2.2k 332

  2. feature-engine-examplesfeature-engine-examplesPublic

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  3. feature_engine-feedstockfeature_engine-feedstockPublic

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  4. .github.githubPublic

    About Feature-engine

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