Logistic Regression Part 2 | Perceptron Trick Code

The video begins with a recap of the previous lesson on Perceptron Trick, explaining that in this session, they will convert the algorithm into a code using animal data to demonstrate its functionality. The speaker has pre-written the code due to its length to save typing time. It starts by generating and plotting a classification dataset similar to make_regression in sklearn, showing a two-dimensional dataset with input columns and target values, where classification problems are represented by green (1) and blue (0). It includes a function 'scan' to compute weights and intercepts given data, demonstrating the initial manipulations on data entries before running through the algorithm loop.