Recommendation systems are on everyone's resumes. We have seen countless YouTube tutorials on clichéd movie recommendation or book recommendation systems. But how do you move past them? How are recommendation systems built from scratch, and how can y...
Random Forest is a bagging ensemble learning method that builds a collection of decision trees and combines their predictions to make accurate and reliable predictions. Intuition: Wisdom of the Crowd Random Forest is like a team of decision trees wo...
Supercharge Your Machine Learning Models with Ensemble Learning
Intuition In a voting ensemble, each model is trained independently on the same training data or different subsets of the training data. Once trained, these models make predictions on unseen data. The ensemble then combines these predictions using a ...
Linearly Classifiable Dataset Perceptron Trick The perceptron trick, also known as the perceptron learning rule or the delta rule, is a simple algorithm used for training a binary linear classifier called the perceptron. Understanding this will help...
What does L1 mean? In Lasso Regression, we add a penalty term to the loss function during model training. The penalty term is proportional to the sum of the absolute values of the coefficients. We calculate the penalty term using the L1 norm, which i...
