Linear Model in Python
For theoretical developments, refer In Python, linear models can be directly implemented using libraries such as statsmodels (via statsmodels.formula.api.ols) or
Python, SEE
R, SEE
The Art of Visualization with ggplot2
The CRAFT framework provides a structured and systematic approach to data visualization. This framework is platform-independent — it is not
Python, SEE
The Art of Visualization with Plotly
The CRAFT framework provides a structured and systematic approach to data visualization. This framework is platform-independent — it is not
S_Foundation, YES
CRAFT – Art & Science of Visualization
A platform-independent thinking discipline for building visualizations. The Idea A visualization isn’t produced by picking a chart type. It is
S_Foundation, YES
The Story Behind DATA
A conceptual framework — from origin to value 1. Origin & Scope — Who Had Data First Data creation did
S_Foundation, YES
The Evolution of Statistics: an overview
A conceptual framework — from aristocratic administration to personal data A note on names: statistics was built by many hundreds
Constant, Wealth
The True Meaning of Education: An A to Z Journey
Education is often mistaken for the accumulation of degrees, certificates, and marks on a report card. But real education is
Constant, Wealth
Stock Market Analytics Glossary: Modern Toolkit
Modern market analysis draws on a surprisingly wide toolkit — from century-old descriptive statistics to machine learning models built for
Approximations, YEM
Approximations using Newton’s method
First-Order Approximation A first-order approximation of a function $f(\mathbf({\text{x}}))$ at a point $\mathbf{x_0}$ uses the tangent line of the function
Approximations, YEM
Taylor Series
Derivation Using Taylor series:- 1-D Consider $f: R \to R$ and let us expand around a point $x_0$ (Quadratic) $$f(x)