This Python script demonstrates how to implement gradient descent for linear regression. The model is a simple linear regression (y = mx + c), and the optimization algorithm is gradient descent. The ...

Here's how gradient descent works: 1)Initialization: Start with an initial set of parameters (weights and biases), often chosen randomly. 2)Compute the Gradient: Calculate the gradient of the cost ...

Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to fit our model to the data set. Gradient Descent finds the minima of cost function, ...

Logistic regression is a supervised binary classification algorithm in machine learning. It is an important part of neural network and convolutional neural network. An important part of the logistic ...