L-9 Binary Classification Using Perceptron | Single Layer Neuron

In this lesson, we demonstrate how to perform Binary Classification using a Perceptron. A binary classification problem involves classifying data into one of two classes. Examples include predicting: Whether a customer will make a purchase If a credit card transaction is fraudulent Medical test outcomes Detection of signals in astronomy We explain how to assign numeric labels (0 and 1) to categorical data and implement the Perceptron algorithm to solve binary classification problems with a practical example. 📂 GitHub Code Access the complete program here: https://github.com/codewithaarohi/Detailed-Deep-Learning-Program 💬 Queries / Support Email: [email protected] #perceptron #binaryclassification #machinelearning #deeplearning #ai #neuralnetworks #singlelayerperceptron #CodeWithAarohi