GakiiViolet·Oct 25Can We Predict Laptop Price From Its Specifications? A Data Science ProjectExploring laptop prices, engineering features, and comparing regression models using Python.A response icon1A response icon1
Evelyn·Aug 4Why we square the error — the small choice that decides what the model actually learnsI’ve been sitting with a small decision that gets skipped in every intro ML lesson: why do we square the error in the loss function…
Arpan·Jul 19Evaluating a Regression Model: How Do We Know Our Predictions Are Good?In the previous article, we built our first Simple Linear Regression model. The idea was simple: use YearsExperience to predict Salary. The…
Abhishek Agrawal·Jun 22Why AI is Human? How a Model Knows It’s Wrong: Loss FunctionsThink about the last time you were wrong about something.
InData And BeyondbyMoumita·May 18Hyperparameter Tuning: Choosing the Best Lambda in Ridge and LASSO Using Cross-ValidationHow Does Ridge Regression Know When to Stop Shrinking Coefficients?A response icon1A response icon1
InTowards AIbyNiklas Lang·Jan 30Mean Squared Error (MSE) Explained: How to Measure and Improve Regression ModelsA practical guide to the math behind MSE, how to interpret it, when it fails, and how to implement it in Python
Pahadi Ashok·Nov 23, 2025Coming up with the Loss Function: Understanding of Linear Regression (1/2)Linear regression is one of the most basic supervised machine learning algorithms which can be used to build a model that can recognize the…
Kushagra Tomar·Nov 3, 2025Understanding Regression Metrics in Machine Learning (Part-2)When working with regression models, we’re no longer predicting categories — we’re predicting continuous values like house prices…
