Tag: regularization

• Logistic Regression

  

  Logistic regression is used to calculate the probability of an outcome given an input variable. For e.g. probability of an email being spam or not spam. This model returns the probability of the outcome in a range of 0 to 1. We often use Logistic Regression combined with a threshold value in classification problems. Logistic…

  Jay Gala

  June 16, 2022

  Machine Learning

  logistic-regression, machine-learning, regularization

• Regularization: L1, L2, and Lambda

  

  Regularization is a method to tackle overfitting models. Ridge (L1) and Lasso (L2) are two popular types of regularization techniques.

  Jay Gala

  June 14, 2022

  Machine Learning

  l1, l2, lambda, Machine Learning, machine-learning, regularization