Bringing Clarity to Tree Based ML ModelsTree-based models that we are going to discuss today include Decision Trees, Random Forest, AdaBoost, and Gradient Boosting Machines (GBM)…Oct 18, 20232Oct 18, 20232
Bridging the Gap Between Meaningless Labels and Business Value: A Deep Dive into Clustering[Draft]This article will cover two major parts: understanding different types of clustering and how are the clustering results being used in real…Oct 2, 2023Oct 2, 2023
Intuitively Understanding Approaches to Handling Imbalanced Data in Machine LearningWhen creating classification models in machine learning, one of the common issues we encounter is data imbalance. For instance, when…Sep 18, 2023Sep 18, 2023
Bringing Clarity to Multiple Testing and Multivariate TestsWhy not A/B Testing?Sep 14, 2023Sep 14, 2023
Understanding linear regressionWho is this article for: this article is for someone who have heard of linear regression, and maybe have some experience in building a…Sep 11, 2023Sep 11, 2023
Understanding logistic regressionWho is this article for: If you’ve heard of logistic regression, understand that it’s used for binary classification, but aren’t entirely…Sep 4, 2023Sep 4, 2023
How to Utilize Causal Inference to Solve Real-World Problems?Intended Audience for this Article: Data science professionals, students, and enthusiasts without a degree in statistics who want to…Aug 17, 2023Aug 17, 2023
