## Singular value decomposition

Principal component analysis and singular value decomposition are among the two common concepts of linear algebra in machine learning. After collecting raw data, is...

## Confusion Matrix

The classification process helps with the categorization of the dataset into different classes. A machine learning model enables you to: Frame the problem, Collect...

## Feature Engineering

Every machine learning algorithm analyzes and processes input data and generates the outputs. The input data includes features in columns. These columns are structured...

## Power Analysis

A hypothesis test for statistical power will help detect the probability of an effect. You can only spot the true effect if available. With...

## SMOTE

This article will discuss how SMOTE module helps increase underrepresented numbers in the dataset of a machine learning model. SMOTE is the best method...