Data Science

Accelerate your Career with Specialized Machine Learning Courses.

Boost Your Machine Learning Skills And Be The Expert Companies Are Desperate To Hire.

Go beyond the basics and master the advanced techniques that top AI teams use. Our courses are designed to bridge the gap between theory and production, transforming you into the ML expert companies are actively searching for.

Sign up to check out the first videos of each course for free.

Bestselling Courses

Forecasting with Machine Learning

Forecast single and multiple time series with machine learning models. Implement backtesting to evaluate models before deployment.

Kishan Manani

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

Machine Learning Interpretability

Explain interpretable and black box models with LIME, Shap, partial dependency plots and more.

Soledad Galli

Machine Learning Specializations

Skill-focused course bundles. Advance your career with structured learning paths.

Advanced Machine Learning

Become an expert in machine learning with our 5 course bundle.

Learn more

Forecasting Specialization

Master time series forecasting with our specialized courses.

Learn more

What our students say

Train in Data Reviews

Our Books

Python Feature engineering Cookbook

Feature Selection in Machine Learning

FREE Download

7 Takes on Working with Imbalanced Data

Sole discusses three recent articles that shift the conversation around handling imbalanced datasets.

These articles explore whether generating synthetic data is effective with current state-of-the-art algorithms, and examine the implications of using synthetic data on model performance and deployment.

Free PDF Download

We're the developers of Feature-engine

Feature-engine: Python Open Source Feature Engineering Library

► 250k+ downloads a month

► 2k+ stars on Github

► 55+ contributors

► Feature engineering and selection

Instructors

Soledad Galli: Data Scientist, Instructor, Open Source Developer

Soledad Galli, PhD

Lead Data Scientist

Kishan Manani, Data Scientist, Instructor

Boost Your Machine Learning Skills And Be The Expert Companies Are Desperate To Hire.

Go beyond the basics and master the advanced techniques that top AI teams use. Our courses are designed to bridge the gap between theory and production, transforming you into the ML expert companies are actively searching for.

Sign up to check out the first videos of each course for free.

Bestselling Courses

Forecasting with Machine Learning

Forecast single and multiple time series with machine learning models. Implement backtesting to evaluate models before deployment.

Feature Engineering for Time Series Forecasting

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

Machine Learning Interpretability

Explain interpretable and black box models with LIME, Shap, partial dependency plots and more.

Machine Learning Specializations

Advanced Machine Learning

Forecasting Specialization

What our students say

Our Books

Python Feature engineering Cookbook

Feature Selection in Machine Learning

FREE Download

7 Takes on Working with Imbalanced Data

We're the developers of Feature-engine

► 250k+ downloads a month

► 2k+ stars on Github

► 55+ contributors

► Feature engineering and selection

Instructors

Soledad Galli, PhD

Lead Data Scientist

Kishan Manani, PhD

Lead Data Scientist

Dalibor Veljkovic

Lead Data Scientist

Tired of sifting through endless tutorials?

Follow us 👇

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Boost Your Machine Learning Skills And Be The Expert Companies Are Desperate To Hire.

Go beyond the basics and master the advanced techniques that top AI teams use. Our courses are designed to bridge the gap between theory and production, transforming you into the ML expert companies are actively searching for.

Sign up to check out the first videos of each course for free.

Bestselling Courses

Forecasting with Machine Learning

Forecast single and multiple time series with machine learning models. Implement backtesting to evaluate models before deployment.

Feature Engineering for Time Series Forecasting

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

Machine Learning Interpretability

Explain interpretable and black box models with LIME, Shap, partial dependency plots and more.

Machine Learning Specializations

Advanced Machine Learning

Forecasting Specialization

What our students say

Our Books

Python Feature engineering Cookbook

Feature Selection in Machine Learning

FREE Download

7 Takes on Working with Imbalanced Data

We're the developers of Feature-engine

► 250k+ downloads a month

► 2k+ stars on Github

► 55+ contributors

► Feature engineering and selection

Instructors

Soledad Galli, PhD

Lead Data Scientist

Kishan Manani, PhD

Lead Data Scientist

Dalibor Veljkovic

Lead Data Scientist

Tired of sifting through endless tutorials?

Follow us 👇