This project focuses on classifying grapevine leaves into different categories using data mining techniques. It involves data preprocessing, model training, and evaluation. Introduction The objective
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This project focuses on predicting survival on the Titanic using logistic regression. The goal is to determine whether a passenger survived or not based on
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Introduction In this project, we implement a Multilayer Perceptron (MLP) neural network with weight decay regularization to solve the Fashion MNIST classification problem. The Fashion
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This Python program implements the Perceptron algorithm using the Pocket Algorithm. It is used for binary classification and finding a linear separator that separates two
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This project implements a simple 3-layer neural network for binary classification tasks. The network architecture consists of an input layer, one hidden layer, and an
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