Demystification of Logistic Regression
Overview Understand the limitations of linear regression for a classification problem, the dynamics, and mathematics behind logistic regression. Understand how GLM is used for …
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Precision vs. Recall – An Intuitive Guide for Every Machine Learning Person
Overview Precision and recall are two crucial yet misunderstood topics in machine learning We’ll discuss what precision and recall are, how they work, and …
Everything you Should Know about Confusion Matrix for Machine Learning
Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but …
Using Platt Scaling and Isotonic Regression to Minimize LogLoss Error in R
Introduction This article is best suited for people who actively (or are aspiring to) participate in data science / machine learning competitions and try …
