Rowan CurryDistributions for Data Science: Bernoulli!This article is part one of a seven part series defining, explaining, and simulating statistical distributions crucial to the field of data…3 min read·Jan 9, 2022----
Rowan CurryAdaBoost: Explained!The following article takes you through an intuitive explanation of the AdaBoost algorithm! AdaBoost is a Boosting algorithm based on…8 min read·Jan 2, 2022--2--2
Rowan CurryThe Complete Guide to Random Forests: Part 2The following article builds on The Complete Guide to Random Forests: Part 1. If you’re unfamiliar with Ensemble Learning, Decision Trees…5 min read·Dec 21, 2021----
Rowan CurryUnderstanding Simpson’s ParadoxAs someone working with data — whether you’re a Data Scientist, a Data Analyst, or a Statistician — it’s essential to make sure that the…4 min read·Dec 20, 2021----
Rowan CurryThe Three Bs: Bootstrapping, Bagging, & Boosting!Many important ensemble learning algorithms are based off of the Three Bs. Understanding these fundamental Machine Learning concepts is…2 min read·Dec 16, 2021----
Rowan CurryThe Complete Guide to Random Forests: Part 1I hear the term “Random Forest” and immediately in my minds eye I’m walking through a redwood grove, smelling salty coastal air and…5 min read·Dec 16, 2021----
Rowan CurrySimple & Quick Web Apps in RR Shiny is an R package that allows you to build interactive web apps through R. It doesn’t require any previous knowledge of UI, which is…6 min read·Dec 1, 2021--1--1
Rowan CurryA Closer Look at OutliersIt’s always hard figuring out when to include outliers in analysis and when to drop them. This article aims to make this aspect of data…4 min read·Nov 23, 2021----
Rowan CurryGradient Descent: Explained!Gradient descent is a popular and effective optimization strategy used when training data-based models. Gradient descent’s popularity is…4 min read·Nov 19, 2021----
Rowan CurrySimplified Logistic Regression: Classification With Categorical Variables in PythonLogistic Regression is an algorithm that performs binary classification by modeling a dependent variable (Y) in terms of one or more…7 min read·Oct 25, 2021----