Freaks City

Logistic Function Logistic regression is a generalized linear model, sharing many similarities with multiple linear regression. We define the logistic function (sigmoid) as: $$ g(z) = \frac{1}{1 + e^{-z}} $$ With $ z = \theta^T x $, the hypothesis becomes: $$ h_\theta(x) = \frac{1}{1 + e^{-\theta^T x}} $$ The graph of the logistic function is: ...

Dataset Overview The Iris dataset, collected by Fisher in 1936, is a widely used classification dataset containing 150 samples from three iris species: Setosa, Versicolor, and Virginica. Each species has 50 samples with four features: sepal length, sepal width, petal length, and petal width. In machine learning practice, data collection is typi ...

KNN (K-Nearest Neighbor) Algorithm KNN is a classification algorithm in supervised learning that stands out because it can be considered both a model-free algorithm and one where the training dataset itself serves as the model. KNN Algorithm Principles When predicting a new value, the KNN algorithm determines its class based on the classes of t ...

import torch # Initialize a tensor with gradient tracking x = torch.tensor([1.0, 2.0, 3.0, 4.0], requires_grad=True) # Compute a scalar output y = 3 * torch.dot(x, x) # Backpropagation y.backward() # Display gradients print(f"Input tensor: {x}") print(f"Gradients: {x.grad}") Gradinet Management # Zero out gradients b ...

In this guide, we will build a cuisine recommendation web application that runs a machine learning model directly in the browser. Instead of using a backend server, we will leverage ONNX Web to let users interact with the model through a simple frontend interface. Cuisine Recommendation Web Application This project focuses on the machine learni ...

Principle Overview A decsiion tree classifier is a supervised learning algorithm that constructs a tree-like model of decisions based on feature values. The algorithm works by recursively partitioning the dataset into subsets based on the most significant feature that best separates different class labels. Each internal node represents a test o ...