Tam D Tran-The – Medium

Tam D Tran-The

Tam D Tran-The
in
Towards Data Science

Data-Oriented Programming with Python

A recap on Data-Oriented Programming by Yehonathan Sharvit illustrated with Python examples (instead of JavaScript and Java)

May 12, 2023

Data-Oriented Programming with Python

May 12, 2023

Tam D Tran-The
in
Towards Data Science

How to Evaluate Any Tabular Synthetic Dataset

A series of mechanisms and tests one can use to evaluate any tabular synthetic dataset, from resemblance and utility perspectives

Aug 25, 2022

How to Evaluate Any Tabular Synthetic Dataset

Aug 25, 2022

Tam D Tran-The
in
Towards Data Science

How cross-validation can go wrong and how to fix it: feature selection use case with sample code

There are multiple nuances when designing a cross-validation procedure that might make the obtained results less robust or even wrong

Jul 7, 2022

How cross-validation can go wrong and how to fix it: feature selection use case with sample code

Jul 7, 2022

Tam D Tran-The
in
Towards Data Science

The wrong and right way to approximate Area Under Precision-Recall Curve (AUPRC)

There are many ways to summarize the AUPRC, but not all are of equal merit

May 20, 2022

The wrong and right way to approximate Area Under Precision-Recall Curve (AUPRC)

May 20, 2022

Tam D Tran-The
in
Towards Data Science

Performance Curve: More Intuitive than ROC/PRC and Less Assumptive than Threshold Metrics

An evaluation method for binary classifiers that combines the best of both worlds

Mar 2, 2022

Performance Curve: More Intuitive than ROC/PRC and Less Assumptive than Threshold Metrics

Mar 2, 2022

Tam D Tran-The
in
CodeX

Feature Selection with a Random Variable

A trick to make your decision of choosing top n most important features less arbitrary

Mar 2, 2022

Feature Selection with a Random Variable

Mar 2, 2022

Tam D Tran-The
in
Towards Data Science

Sample Size Planning for Interrupted Time Series Design in Health Care

ITS is one of the strongest quasi-experimental designs. Properly planning for the study is arguably more important than the analysis…

Feb 3, 2022

Sample Size Planning for Interrupted Time Series Design in Health Care

Feb 3, 2022

Tam D Tran-The
in
Towards Data Science

Precision-Recall Curve is more informative than ROC in imbalanced data

When the negative class is more prevalent and there is low value in true-negative predictions, Precision-Recall curve is preferred over…

Nov 29, 2021

Precision-Recall Curve is more informative than ROC in imbalanced data

Nov 29, 2021

Tam D Tran-The
in
Towards Data Science

Credibility of Data Science

For data science to be effectively applied in the real world, its problem of credibility should not be taken lightly.

Nov 24, 2021

Credibility of Data Science

Nov 24, 2021

Tam D Tran-The

Tam D Tran-The

Data scientist. Talks about anything data science and human-centered designs. Experience in finance and healthcare. https://www.linkedin.com/in/tamtranthe/

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