Eryk Lewinson

Eryk Lewinson is a data scientist with a background in quantitative finance. Over his career, he has worked for two consultancy companies, a FinTech scale-up and most recently for the Netherlands' largest online retailer. In his work, he uses machine learning for generating actionable insights for businesses. Currently, he is focusing his efforts on the domain of time series forecasting. Eryk has also published a book, Python for Finance Cookbook, in which he explores various applications of modern data science solutions to the field of quantitative finance. The second edition of his book was released in December 2022. In his spare time, he enjoys playing video games, traveling with his girlfriend, and writing on topics related to data science. His articles have over 4M views.
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Posts by Eryk Lewinson

Data Science Jul 20, 2023

A Comprehensive Guide on Interaction Terms in Time Series Forecasting

Modeling time series data can be challenging (and fascinating) due to its inherent complexity and unpredictability. Long-term trends in time series can change... 8 MIN READ
Data Science Apr 26, 2023

A Comprehensive Guide to Interaction Terms in Linear Regression

Linear regression is a powerful statistical tool used to model the relationship between a dependent variable and one or more independent variables (features).... 13 MIN READ
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Data Science Apr 20, 2023

A Comprehensive Overview of Regression Evaluation Metrics

As a data scientist, evaluating machine learning model performance is a crucial aspect of your work. To do so effectively, you have a wide range of statistical... 17 MIN READ
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Data Science Jul 20, 2022

Dealing with Outliers Using Three Robust Linear Regression Models

Linear regression is one of the simplest machine learning models out there. It is often the starting point not only for learning about data science but also for... 13 MIN READ
Data Science Feb 17, 2022

Three Approaches to Encoding Time Information as Features for ML Models

Imagine you have just started a new data science project. The goal is to build a model predicting Y, the target variable. You have already received some data... 15 MIN READ