Since 1 and 0 are not cardinal numbers, logistic regression can be used to predict the probability of passing or failing the class of the student. The implemented class will have two constructing ...

This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary. The dataset ...

Logistic regression is best explained by example. Continuing the example above, suppose a person has age = x1 = 3.5, income = x2 = 5.2 and height = x3 = 6.7 where the predictor x-values have been ...

In this project I am going to build a logistic regression classifier to recognize cats. By completion of this project, I've learn how to: Building the general architecture of a learning algorithm, ...

Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...

Logistic regression can in principle be modified to handle problems where the item to predict can take one of three or more values instead of just one of two possible values. The is sometimes called ...