A beginner-friendly guide to React explaining how components, props, and state work together to build dynamic user interfaces, with simple examples and clear explanations.
A follow-up to Simple and Multiple Linear Regression: what polynomial regression is, why we need it, squared and interaction terms, and Python code with PolynomialFeatures.
How statistics power ML from dependent and independent variables to y = mx + c, with formulas, examples, and Python code for simple and multiple linear regression.
The story behind our #1 Meetup
The story behind building a tech community in South Tamil Nadu.