A Solution to Missing Data: Imputation Using R

A Solution to Missing Data: Imputation Using R

Handling missing values is one of the worst nightmares a data analyst dreams of. In situations, a wise analyst ‘imputes’ the missing values instead of dropping them from the data. Missing Data in Analysis At times while working on data, one may come across missing...
Learn Generalized Linear Models (GLM) using R

Learn Generalized Linear Models (GLM) using R

In this article, we aim to discuss various GLMs that are widely used in the industry. We focus on: a) log-linear regression b) interpreting log-transformations and c) binary logistic regression. Editor’s note: Data files discussed below can be acquired here:...
Machine Learning Using Support Vector Machines

Machine Learning Using Support Vector Machines

Support Vector Machines (SVM) is a data classification method that separates data using hyperplanes. The concept of SVM is very intuitive and easily understandable. If we have labeled data, SVM can be used to generate multiple separating hyperplanes such that the data...
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