Logistic Regression: Vegetation Prediction

This lecture covers the application of logistic regression in predicting the proportion of land mass occupied by indigenous plants versus invasive species in the Amazon region. It includes data collection, model training, and prediction using physical properties observed through remote sensing. The lecture also delves into quadratic programming, general linear models for softmax regression, and the implementation of gradient descent for classification problems.