Tam D Tran-TheinTowards Data ScienceData-Oriented Programming with PythonA recap on Data-Oriented Programming by Yehonathan Sharvit illustrated with Python examples (instead of JavaScript and Java)May 12, 202310May 12, 202310
Tam D Tran-TheinTowards Data ScienceHow to Evaluate Any Tabular Synthetic DatasetA series of mechanisms and tests one can use to evaluate any tabular synthetic dataset, from resemblance and utility perspectivesAug 25, 20222Aug 25, 20222
Tam D Tran-TheinTowards Data ScienceHow cross-validation can go wrong and how to fix it: feature selection use case with sample codeThere are multiple nuances when designing a cross-validation procedure that might make the obtained results less robust or even wrongJul 7, 20221Jul 7, 20221
Tam D Tran-TheinTowards Data ScienceThe 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 meritMay 20, 20221May 20, 20221
Tam D Tran-TheinTowards Data SciencePerformance Curve: More Intuitive than ROC/PRC and Less Assumptive than Threshold MetricsAn evaluation method for binary classifiers that combines the best of both worldsMar 2, 20222Mar 2, 20222
Tam D Tran-TheinCodeXFeature Selection with a Random VariableA trick to make your decision of choosing top n most important features less arbitraryMar 2, 2022Mar 2, 2022
Tam D Tran-TheinTowards Data ScienceSample Size Planning for Interrupted Time Series Design in Health CareITS is one of the strongest quasi-experimental designs. Properly planning for the study is arguably more important than the analysis…Feb 3, 2022Feb 3, 2022
Tam D Tran-TheinTowards Data SciencePrecision-Recall Curve is more informative than ROC in imbalanced dataWhen the negative class is more prevalent and there is low value in true-negative predictions, Precision-Recall curve is preferred over…Nov 29, 20212Nov 29, 20212
Tam D Tran-TheinTowards Data ScienceCredibility of Data ScienceFor data science to be effectively applied in the real world, its problem of credibility should not be taken lightly.Nov 24, 2021Nov 24, 2021