Welcome to the Machine Learning Lab, operative. This sector houses interactive simulations of foundational ML algorithms. Manipulate model parameters in real-time, observe how they affect predictions, and build the intuition you need to deploy intelligent systems in the field.
Your first assignment: master the most fundamental predictive model. Adjust the slope and intercept of a regression line in real-time, watch it fit to scattered data points, and minimize the Mean Squared Error to find the optimal parameters.
Type: Supervised Learning — Regression
Status: LIVE
Level up from a simple line to a multidimensional plane. Fit a model using two input features, visualize the regression surface in 3D, and learn the Normal Equation — the matrix algebra method that solves for all weights simultaneously.
Type: Supervised Learning — Multivariate Regression
Status: LIVE
Algorithms do not guess the solution; they find it by tracking the slope. Adjust the learning rate to see how an AI system navigates a cost landscape to find the global minimum.
Type: Optimization Algorithm
Status: LIVE
Binary Classification & Sigmoid Function
Tree-Based Splitting & Information Gain