Machine Learning
PCA finds directions of variation, not the causes behind your data
Understand what PCA’s components and explained variance describe, why feature scaling matters, and why a clean two-dimensional plot does not establish causes.
AI · VISION · EVERYDAY SYSTEMS
Machine Learning
Machine Learning
Choosing when to stop training without using the final test set
Set up early stopping with a clear monitored metric, patience rule and checkpoint decision while keeping the final test set untouched.
Machine Learning
A Random Train-Test Split Can Leak Tomorrow Into Yesterday
Chronological validation asks whether a forecasting model could have made its prediction using only information available at that moment.