Principal Component Analysis (PCA)
Principal Component Analysis (PCA) is a statistical technique used for dimensionality reduction while preserving as much variability in the data as possible. It is widely used in fields such as….
Tag: Variance
Box Plots and Histograms
Box Plots and Histograms: A Comprehensive Guide Introduction Box plots and histograms are essential tools in Exploratory Data Analysis (EDA). They help visualize the distribution, spread, central tendency, and outliers….
Univariate Analysis
Univariate Analysis: A Comprehensive Guide Introduction Univariate Analysis is the simplest form of data analysis, where we analyze one variable at a time. The goal is to understand the distribution,….