Discretization transforms continuous data into categories for better analysis. Explore key techniques for both unsupervised and supervised m

Discover how scaling techniques in machine learning can boost model performance, ensure faster training, and enhance prediction accuracy.

Effectively handling missing data with univariate and multivariate imputation ensures reliable analysis and accurate machine learning models

Explore the depths of non-linear dimensionality reduction methods! Unravel complex data structures and enhance your analytics.

In this article, we explored PCA and SVD, the two most used linear dimensionality reduction techniques.