Insights, tutorials, and projects from my journey in software engineering and full-stack development.
NewA beginner-friendly guide to simple linear regression using Python. Learn how to prepare data, train a regression model, make predictions, evaluate performance, and understand residuals and regression assumptions.
NewUnderstand how derivatives measure change, how slopes become gradients, and how gradient descent uses them to minimize a loss function in machine learning.
Understand what happens mathematically inside multiple linear regression. Learn how Ordinary Least Squares turns several inputs into one set of coefficients using partial derivatives and the normal equations.
Understand what happens mathematically inside linear regression. Learn how Ordinary Least Squares minimizes squared errors and derives the slope and intercept using partial derivatives.
In a microservices system, the auth service has one job: verify identity and issue proof of it. Every other service trusts a signed JWT — no password checks, no shared databases. Here's exactly how the login flow works, what gets stored, and why JWT expiry is your safety net when things go wrong.
Struggling to understand rate limiting? This guide breaks down the 5 most important algorithms: Token Bucket, Leaky Bucket, Fixed Window, Sliding Window Log, and Sliding Window Counter with simple explanations and real-world examples to help you choose the right one.