Complex Topics Don't Have to Be Complex

Interactive, formula-driven guides to Machine Learning and Statistics. Built from real university notes. Made to finally make sense.

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Area 01

Statistics Basics

The foundation. Without this, nothing else makes sense. Intuition-first, formulas included.

Includes: Mean & Variance · Normal Distribution · t-Distribution · p-Values · Confidence Intervals
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Area 02

Supervised Machine Learning

Models that learn from labelled data. From a simple line to complex classifiers.

Includes: OLS Regression · Log-Linear Regression · Dummy Variables · F-Test · Model Diagnostics · Nonlinear Regression
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Area 03

Unsupervised Machine Learning

Finding structure in data without labels. Clustering, dimensionality reduction, and more.

Coming soon
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