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Not all relationships are linear, and that is where Spearman comes in.
7 min read -
A simple explanation of the Pearson correlation coefficient with examples
7 min read -
The math behind fitting a plane instead of a line.
19 min read -
Understanding how the Gini and Lorenz curves help measure how well a model separates defaulters…
10 min read -
The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling
Data ScienceUnderstanding how banks use the KS statistic in loan approvals.
8 min read -
Understand how ROC curves and AUC help you go beyond accuracy with visuals and examples.
11 min read -
Time Series Forecasting Made Simple (Part 4.1): Understanding Stationarity in a Time Series
Data ScienceAn intuitive guide to stationarity in a time series
11 min read -
Explore how STL uses LOESS smoothing to extract trend and seasonal components.
6 min read -
How to evaluate classification models and understand which metric matters the most.
8 min read -
STL Decomposition excels when seasonal patterns evolve over time.
24 min read
