Click-Through Rate (CTR) Prediction using Decision Trees

1. Introduction In this tutorial, we will try to predict click-through rate of ads with the Decision Tree algorithm we learnt in the last post. Before continuing, I would recommend you to first read that post for a theoretical understanding of Decision Trees. What does Click-Through Rate Prediction mean? Let's assume that you are designing... Continue Reading →

Understanding Decision Trees

Tree based algorithms are among the most common and best supervised Machine Learning algorithms. Decision Trees follow a human-like decision making approach by breaking the decision problem into many smaller decisions.  As opposed to black-box models like SVM and Neural Networks, Decision Trees can be represented visually and are easy to interpret. How is decision... Continue Reading →

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