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...
