Andrew Engel – Medium

Andrew Engel
in
Towards Data Science

Feature Engineering for Time Series Data

Time series aggregations on the modern data stack

4 min readMar 29, 2022

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Feature Engineering for Time Series Data

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Andrew Engel
in
Towards Data Science

Normalizing Features Within Groups

An alternative approach to standardization

4 min readMar 22, 2022

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Normalizing Features Within Groups

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Andrew Engel
in
Towards Data Science

From Numerical to Categorical

Three ways to bin numeric features

4 min readMar 18, 2022

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1

From Numerical to Categorical

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Andrew Engel
in
Towards Data Science

Categorical Variables for Machine Learning Algorithms

One-hot encoding in Python and on the data warehouse

4 min readMar 16, 2022

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Categorical Variables for Machine Learning Algorithms

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Andrew Engel
in
Towards Data Science

Three Techniques for Scaling Features for Machine Learning

Scaling features on the modern data stack

3 min readMar 10, 2022

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Three Techniques for Scaling Features for Machine Learning

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Andrew Engel
in
Towards Data Science

Weekly aggregation of time series data

Aggregation in the Modern Data Stack

4 min readMar 8, 2022

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Weekly aggregation of time series data

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Andrew Engel
in
Towards Data Science

Merging Multiple Datasets at Scale

Joining data on the modern data stack

4 min readMar 4, 2022

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Merging Multiple Datasets at Scale

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Andrew Engel
in
Towards Data Science

Imputation on the Modern Data Stack

Imputation at scale

5 min readMar 3, 2022

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Imputation on the Modern Data Stack

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Andrew Engel
in
Towards Data Science

Feature Engineering in Python

Beyond the basics

5 min readNov 18, 2021

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Feature Engineering in Python

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Andrew Engel
in
Rasgoml

Refined Data is the New Fuel part 2

Best Practices For Transforming Dirty Data Into a Renewable Resource

6 min readNov 16, 2021

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Refined Data is the New Fuel part 2

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Andrew Engel

Andrew Engel

Head of Customer-Facing Data Science at Weav AI. Devloper of pgetu to bring tsfresh to Postgres. Previously at DataRobot, SAS, HP.

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