Andrew Engel – Medium

Andrew Engel

Published in
TDS Archive

Feature Engineering for Time Series Data

Time series aggregations on the modern data stack

Mar 29, 2022

Feature Engineering for Time Series Data

Mar 29, 2022

Published in
TDS Archive

Normalizing Features Within Groups

An alternative approach to standardization

Mar 22, 2022

Normalizing Features Within Groups

Mar 22, 2022

Published in
TDS Archive

From Numerical to Categorical

Three ways to bin numeric features

Mar 18, 2022

From Numerical to Categorical

Mar 18, 2022

Published in
TDS Archive

Categorical Variables for Machine Learning Algorithms

One-hot encoding in Python and on the data warehouse

Mar 16, 2022

Categorical Variables for Machine Learning Algorithms

Mar 16, 2022

Published in
TDS Archive

Three Techniques for Scaling Features for Machine Learning

Scaling features on the modern data stack

Mar 10, 2022

Three Techniques for Scaling Features for Machine Learning

Mar 10, 2022

Published in
TDS Archive

Weekly aggregation of time series data

Aggregation in the Modern Data Stack

Mar 8, 2022

Weekly aggregation of time series data

Mar 8, 2022

Published in
TDS Archive

Merging Multiple Datasets at Scale

Joining data on the modern data stack

Mar 4, 2022

Merging Multiple Datasets at Scale

Mar 4, 2022

Published in
TDS Archive

Imputation on the Modern Data Stack

Imputation at scale

Mar 3, 2022

Imputation on the Modern Data Stack

Mar 3, 2022

Published in
TDS Archive

Feature Engineering in Python

Beyond the basics

Nov 18, 2021

Feature Engineering in Python

Nov 18, 2021

Published in
Rasgoml

Refined Data is the New Fuel part 2

Best Practices For Transforming Dirty Data Into a Renewable Resource

Nov 16, 2021

Refined Data is the New Fuel part 2

Nov 16, 2021

Andrew Engel

Andrew Engel

Head of Data Science Solutions at RapidCanvas.ai. Devloper of pgetu to bring tsfresh to Postgres. Previously at DataRobot, SAS, HP.

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