Logistic Regression

Here you’ll find everything about logistic regression, whether it’s tutorials on implementing the algorithm in Python or conceptual articles.

Logistic regression is a type of machine learning algorithm that is used for classification tasks. The goal is to predict the probability that a given data point belongs to a specific class or category. To do this, logistic regression uses a mathematical function called the logistic function, which maps the input data to a value between 0 and 1. This value represents the predicted probability that the data point belongs to the target class.