Why Bayesian Statistics Are UselessWhen it comes to the world of statistics, there are two main schools of thought: frequentist and Bayesian. While the frequentist approach…Jul 2112Jul 2112
Why Agile Doesn’t Work for Data Science — And That’s OkayA Comprehensive ExaminationOct 9, 2023Oct 9, 2023
I Declare Myself the #1 Enemy of Over/Undersampling, SMOTE and ADASYN, Here’s Why & How I…I explain why I don’t use SMOTE or ADASYN when I encounter myself with an imbalanced problemJul 31, 20237Jul 31, 20237
HalvingGridSearch: An Experimental Framework for Fine Tuning — How I discovered it, Why I Use It…Part I: IntroductionJul 25, 2023Jul 25, 2023
K-Prototypes & Other Statistical Techniques to Cluster with Categorical and Numerical Features: A…IntroductionJul 19, 20231Jul 19, 20231
Drawing the Link: Understanding the Connection Between a 2x2 Contingency Table and Logistic…Setting the StageJul 19, 2023Jul 19, 2023
How and Why I Switched from the ROC Curve to the Precision-Recall Curve to Analyze My Imbalanced…Machine learning is transforming how we tackle problems and make decisions in an array of sectors, from healthcare to finance. Binary…Jul 10, 20233Jul 10, 20233
Optimizing Classification Models for Marketing with the Expected Profit CurveIntroductionJul 6, 2023Jul 6, 2023
A Journey Through the Cosmos of Count Data: Exploring Zero-Inflated Poisson and Hurdle ModelsIn the vast universe of statistical modeling, there are unique celestial bodies that often remain unexplored. Today, we venture into the…May 15, 2023May 15, 2023
