Logistic Regression and Decision Surfaces
Why standard regression fails at classification and how the Sigmoid function fixes the probability space.
Feb 3, 20265 min read
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#learning-journey
Articles tagged with #learning-journey
Optimization Mechanics — Feature Scaling, Convergence Testing, and Polynomial Mapping
Eliminating gradient descent bottlenecks through input normalization and feature engineering.
Jan 21, 20266 min read
Upgrading to Multiple Linear Regression
Moving past single-variable equations and smashing matrix dot products into NumPy to accelerate training.
Jan 18, 20265 min read
gradient_descent.py
Translating the calculus of partial derivatives into simultaneous parameter updates using raw NumPy.
Jan 15, 20265 min read
Cost function in linear regression
Dissecting the Squared Error Cost Function in Linear Regression
Jan 12, 20264 min read
Supervised v/s Unsupervised
Mapping out core machine learning paradigms and mathematical notation before writing code.
Jan 9, 20263 min read