Location: Andorra

In a different article of the same series, we have discussed Lists and Tuples. Both the terms have the same purpose of storing the data with a different nature. Then... Read More

In Mean Squared Logarithmic Error (MSLE), we begin by calculating the natural logarithm of each of the predicted. Values and calculate the mean squared error, i.e., it is called the... Read More

Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent variables. It is mostly used... Read More

What does the sigmoid function do? The Sigmoid function performs the role of an activation function in machine learning which is used to add non-linearity in a machine learning model. Basically,... Read More

What does Softmax activation function do? Image result for softmax activation function The softmax activation function transforms the raw outputs of the neural network into a vector of probabilities, essentially a probability... Read More

What is binary cross-entropy? Binary cross-entropy is a loss function that is used in binary classification problems. The main aim of these tasks is to answer a question with only two... Read More