MMilo·Nov 1Demystifying OLS: The Engine Behind Linear RegressionExplore OLS linear regression mechanics, its vulnerability to outliers and multicollinearity, and how Ridge and Lasso regularisation fix its limits.5 min read·blog.miloarchive.com
TTharun·Aug 22Polynomial Regression: Teaching a Line to BendLearn polynomial regression from scratch using a delivery-time example, x^2, feature engineering, and gradient descent to fit curved patterns.10 min read·tharunpandya.hashnode.dev1
TTharun·Aug 16Multiple Linear Regression: When One Input Isn't EnoughPicture two different orders. Both are exactly 3 kilometers away from the restaurant. One arrives in 18 minutes. The other takes 35 minutes. If distance is the only thing our model looks at, it has no9 min read·tharunpandya.hashnode.dev1
TTharun·Aug 13Gradient Descent: Walking Downhill Blindfoldedgradient descent from scratch using a simple blindfolded downhill analogy, with learning rates, slope calculations, a worked example, and Python code.10 min read·tharunpandya.hashnode.dev1
TTharun·Aug 12The Cost Function: How Wrong Are We, Exactly?Learn how machine learning measures prediction errors using the cost function, with linear regression examples explained from scratch in Python.8 min read·tharunpandya.hashnode.dev1
SSilent Scribe·Jul 4From Study Hours to Scores: How Linear Regression Predicts the FutureDiscover how Linear Regression predicts outcomes like student marks using a simple formula, Python steps, and real examples.4 min read·silentscribejournal.hashnode.dev
DDivyajot Kaur·Jun 11Part 10: Introduction to Linear RegressionUnderstanding How Machines Predict Continuous Values4 min read·ai-beginners-journey.hashnode.dev
AAnik Chand·May 23#8 Linear RegressionLinear Regression is a supervised machine learning algorithm used for predicting continuous numerical values. It finds the relationship between input variables and output variables using a straight li4 min read·anikchandml.hashnode.dev
AAditya Dandia·Mar 22ML from Scratch — Episode 1: Linear RegressionI built linear regression from scratch to actually understand the math — no sklearn, no black boxes. Here's what I learned and why it matters.1 min read·adityand.hashnode.dev
PPranoti Patil·Mar 621.2 ID3 (Iterative Dichotomiser 3)ID3 (Iterative Dichotomiser 3) is a popular algorithm used to construct a decision tree for classification problems. It selects the best attribute for splitting the data based on Information Gain, whi4 min read·ai-for-multidisciplinary-application.hashnode.dev
