K-Nearest Neighbors (KNN)
Understanding the proximity-based classification algorithm: distance metrics, choosing K, and the curse of dimensionality.
4 docs tagged with "supervised-learning"
View all tagsLogistic Regression
Understanding binary classification, the Sigmoid function, and decision boundaries.
Supervised Learning: Learning with Labels
A deep dive into supervised learning: regression, classification, and the relationship between features and targets.
Support Vector Machines (SVM)
Mastering the geometry of classification: margins, hyperplanes, and the Kernel Trick.