--- title: "#linearregression articles | Hashnode" description: "Explore 150 articles tagged #linearregression on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/linearregression" --- Tag # #linearregression 150 posts · 3 followers [Milo](https://hashnode.com/@miloarchive) · [Nov 1](https://hashnode.com/posts/demystifying-ols-the-engine-behind-linear-regression/6ae7b0cc3d76d6a5fcbd2c4a) ### [Demystifying OLS: The Engine Behind Linear Regression](https://blog.miloarchive.com/demystifying-ols-the-engine-behind-linear-regression?utm_source=hashnode&utm_medium=feed) Explore 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](https://blog.miloarchive.com/demystifying-ols-the-engine-behind-linear-regression?utm_source=hashnode&utm_medium=feed) [Tharun](https://hashnode.com/@tharun-pandya) · [Aug 22](https://hashnode.com/posts/polynomial-regression-teaching-a-line-to-bend/6a8a080dea390438fc5306b1) ### [Polynomial Regression: Teaching a Line to Bend](https://tharunpandya.hashnode.dev/polynomial-regression-teaching-a-line-to-bend?utm_source=hashnode&utm_medium=feed) Learn 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.dev](https://tharunpandya.hashnode.dev/polynomial-regression-teaching-a-line-to-bend?utm_source=hashnode&utm_medium=feed) [Tharun](https://hashnode.com/@tharun-pandya) · [Aug 16](https://hashnode.com/posts/multiple-linear-regression-when-one-input-isn-t-enough/6a81e06dd14c9076a42b600f) ### [Multiple Linear Regression: When One Input Isn't Enough](https://tharunpandya.hashnode.dev/multiple-linear-regression-when-one-input-isn-t-enough?utm_source=hashnode&utm_medium=feed) Picture 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 no 9 min read · [tharunpandya.hashnode.dev](https://tharunpandya.hashnode.dev/multiple-linear-regression-when-one-input-isn-t-enough?utm_source=hashnode&utm_medium=feed) [Tharun](https://hashnode.com/@tharun-pandya) · [Aug 13](https://hashnode.com/posts/gradient-descent-walking-downhill-blindfolded/6a7de4e80f6d1901fd7b39c8) ### [Gradient Descent: Walking Downhill Blindfolded](https://tharunpandya.hashnode.dev/gradient-descent-walking-downhill-blindfolded?utm_source=hashnode&utm_medium=feed) gradient 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.dev](https://tharunpandya.hashnode.dev/gradient-descent-walking-downhill-blindfolded?utm_source=hashnode&utm_medium=feed) [Tharun](https://hashnode.com/@tharun-pandya) · [Aug 12](https://hashnode.com/posts/the-cost-function-how-wrong-are-we-exactly/6a7c97c7a1dfbf56f3734003) ### [The Cost Function: How Wrong Are We, Exactly?](https://tharunpandya.hashnode.dev/the-cost-function-how-wrong-are-we-exactly?utm_source=hashnode&utm_medium=feed) 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.dev](https://tharunpandya.hashnode.dev/the-cost-function-how-wrong-are-we-exactly?utm_source=hashnode&utm_medium=feed) [Silent Scribe](https://hashnode.com/@silentscribe) · [Jul 4](https://hashnode.com/posts/from-study-hours-to-scores-how-linear-regression-predicts-the-future/6a48aca909a2a0be9d46ad83) ### [From Study Hours to Scores: How Linear Regression Predicts the Future](https://silentscribejournal.hashnode.dev/from-study-hours-to-scores-how-linear-regression-predicts-the-future?utm_source=hashnode&utm_medium=feed) Discover how Linear Regression predicts outcomes like student marks using a simple formula, Python steps, and real examples. 4 min read · [silentscribejournal.hashnode.dev](https://silentscribejournal.hashnode.dev/from-study-hours-to-scores-how-linear-regression-predicts-the-future?utm_source=hashnode&utm_medium=feed) [Divyajot Kaur](https://hashnode.com/@djk2004) · [Jun 11](https://hashnode.com/posts/understanding-linear-regression/6a2aea73193b5a6a023623c7) ### [Part 10: Introduction to Linear Regression](https://ai-beginners-journey.hashnode.dev/understanding-linear-regression?utm_source=hashnode&utm_medium=feed) Understanding How Machines Predict Continuous Values 4 min read · [ai-beginners-journey.hashnode.dev](https://ai-beginners-journey.hashnode.dev/understanding-linear-regression?utm_source=hashnode&utm_medium=feed) [Anik Chand](https://hashnode.com/@anikchand461) · [May 23](https://hashnode.com/posts/8-linear-regression/6a11eba81a3cf7bffc43a651) ### [#8 Linear Regression](https://anikchandml.hashnode.dev/8-linear-regression?utm_source=hashnode&utm_medium=feed) Linear 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 li 4 min read · [anikchandml.hashnode.dev](https://anikchandml.hashnode.dev/8-linear-regression?utm_source=hashnode&utm_medium=feed) [Aditya Dandia](https://hashnode.com/@adityand) · [Mar 22](https://hashnode.com/posts/ml-from-scratch-episode-1-linear-regression/69c01abad9da55a9a5b41a00) ### [ML from Scratch — Episode 1: Linear Regression](https://adityand.hashnode.dev/ml-from-scratch-episode-1-linear-regression?utm_source=hashnode&utm_medium=feed) I 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](https://adityand.hashnode.dev/ml-from-scratch-episode-1-linear-regression?utm_source=hashnode&utm_medium=feed) [Pranoti Patil](https://hashnode.com/@vibesAI) · [Mar 6](https://hashnode.com/posts/21-2-id3-iterative-dichotomiser-3/69ab0bb378c5adcd0e2a5607) ### [21.2 ID3 (Iterative Dichotomiser 3)](https://ai-for-multidisciplinary-application.hashnode.dev/21-2-id3-iterative-dichotomiser-3?utm_source=hashnode&utm_medium=feed) 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, whi 4 min read · [ai-for-multidisciplinary-application.hashnode.dev](https://ai-for-multidisciplinary-application.hashnode.dev/21-2-id3-iterative-dichotomiser-3?utm_source=hashnode&utm_medium=feed)