TTharunAug 22 · 10 min readPolynomial Regression: Teaching a Line to BendTake our best straight-line model so far, the one that fit our five-order table perfectly. Now widen the range a bit. Some orders close by, a couple kilometers away. Some far, ten or twelve kilometers1tharunpandya.hashnode.dev
TTharunAug 16 · 9 min readMultiple 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 no1tharunpandya.hashnode.dev
TTharunAug 13 · 10 min readGradient Descent: Walking Downhill BlindfoldedIn the last post, we built a way to measure exactly how wrong a guess is, using the cost function. Given any w and b, we can now compute a single number that tells us how badly that line fits our data1tharunpandya.hashnode.dev
TTharunAug 12 · 8 min readThe Cost Function: How Wrong Are We, Exactly?Last week, the delivery app on my phone promised my order in 32 minutes. It took 46. I wasn't really annoyed about the food being late. I was annoyed that the model behind that estimate had no way of 1tharunpandya.hashnode.dev
SSilent ScribeJul 4 · 4 min readFrom Study Hours to Scores: How Linear Regression Predicts the FutureImagine you're a parent trying to guess how many marks your child might score based on how many hours they study. You can't know the exact number, but you can make a smart, data-driven estimate — and silentscribejournal.hashnode.dev
DDivyajot KaurJun 11 · 4 min readPart 10: Introduction to Linear RegressionSo far in this series, we've explored datasets, preprocessing, train-test splitting, overfitting, underfitting, bias, and variance. Now it's time to dive into the algorithms that actually make predictai-beginners-journey.hashnode.dev
AAnik ChandMay 23 · 4 min read#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 lianikchandml.hashnode.dev
AAditya DandiaMar 22 · 1 min readML from Scratch — Episode 1: Linear RegressionLinear Regression from Scratch Why I built it from scratch I knew the math — or thought I did. I could write the formulas, follow the derivations, tick the boxes. But I couldn't see it. Writing the loadityand.hashnode.dev
PPranoti PatilMar 6 · 4 min read21.2 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, whiai-for-multidisciplinary-application.hashnode.dev
PPranoti PatilMar 6 · 4 min read18. Types of Machine LearningMachine Learning (ML) is a subfield of Artificial Intelligence (AI) that focuses on building algorithms and models that enable computers to learn from data and improve with experience without explicitai-for-multidisciplinary-application.hashnode.dev
