PinnedPublished inTowards Data ScienceAdvanced K-Means: Controlling Groups Sizes and Selecting FeaturesA few useful tweaks for K-MeansJul 28, 20215Jul 28, 20215
Published inNerd For TechSpeed Up Your Data Analysis With ChatGPT Plus — A Quick Start GuideIf you use ChatGPT-4 (the paid version, at roughly US$20/month) did you know you can upload a dataset and ask the AI to do Exploratory…Nov 9, 2023Nov 9, 2023
How to read and build a mortality tableMortality tables serve as a foundation for computing vital metrics like life expectancy and the median age of death. Proficiency in…Aug 28, 2023Aug 28, 2023
Published inTowards Data ScienceA Quick Start Guide to A/B TestingIntroductionMay 30, 2022May 30, 2022
Published inTowards Data ScienceWhen comparing rates, beware of confounding effectsOften, we work with datasets containing variables representing rates, which we use to make comparisons between groups or as factors in our…Jan 3, 20221Jan 3, 20221
Published inTowards Data SciencePredicting bankruptcy: The Contingent Claim ModelAn alternative approach used among others by Moody’s to rate companiesAug 5, 2021Aug 5, 2021
Published inGeek CultureThe elegant maths behind the RSA EncryptionRSA was named after Rivest, Shamir and Adleman, from the Massachusetts Institute of Technology (MIT). It is an exponential cryptosystem…Aug 3, 2021Aug 3, 2021
Published inAnalytics VidhyaFeature selection for K-meansWhen we are dealing with high dimensional datasets, we can run into issues with clustering methods. Feature selection is a well-known…Jul 11, 20211Jul 11, 20211
Constrained K-means, controlling group sizesPreviously, we have seen a very simple implementation of K-means and a method to choose the number of clusters. In some instances, we also…Jul 8, 20211Jul 8, 20211
Published inNerd For TechK-Means: Choosing the right number of clustersThere are two popular methods:Jul 7, 2021Jul 7, 2021
