TTharunintharunpandya.hashnode.dev·17h ago · 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 kilometers00
AAkashinakashbuilds.hashnode.dev·Aug 5 · 12 min readBuilding Production-Ready ML Models: From Data to DeploymentI originally built these projects in college for learning purposes, and I’m sharing them now to pass along the experience and lessons I gained Machine learning projects often fail not because of poor00
SKSahil Khuranaininnostaxengineering.hashnode.dev·Jul 22 · 8 min readThe Complete Guide to Regression Testing Key Takeaways Regression testing verifies that existing functionality still works after a code change. The change might be a bug fix, a new feature, a refactor, or a dependency update — all of them c00
RPRudrendu Paulinfreecodecamp.org·Jul 15 · 20 min readProduct Experimentation with Regression-Based Causal Inference: Estimating LLM Feature Impact with Python and statsmodelsA randomized A/B test is the cleanest form of product experiment available. The coin flip that splits users between the new prompt template and the control removes every possible confounder by constru00
SSimoninmy-ai-learning-plan.hashnode.dev·Jul 4 · 7 min readBuilding Decision Trees with Pandas and Scikit-learnThe Theory So what's a Decision Tree Regressor and how does it work?It's a regression model so it returns continuous numerical values. It gets a prediction by asking a series of yes/no questions about00
SHStat Hacksinadvanced-data-professionals.hashnode.dev·Jun 16 · 9 min readLevel 2 Predictors in Multi Level ModellingNote: this post is part of a series of posts regarding my comprehensive guide to Multi Level Modelling What are Level 2 Predictors? As the name implies - these factors vary at Level 2 - instead of Lev00
ACAnik Chandinanikchandml.hashnode.dev·May 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 li00
MMacaulay001inforgottentheorieshashnodedev.hashnode.dev·May 11 · 6 min readI refit Galton's 1886 height data. The slope is still 0.66, not 1.Part 88 of Forgotten Theories, a series re-testing old scientific claims with modern tools. Find the rest under the #forgotten-theories tag. Francis Galton spent a chunk of the 1880s measuring families. He had his Anthropometric Laboratory at South ...00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Apr 30 · 4 min readPart 4: Regression vs Classification: How Machines Predict & DecideIn the previous blog, we explored what Supervised Learning is and how models learn from data. Now, let's understand how Supervised Learning is used to solve real-world problems using two key approache00
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 3 min read21.1 Introduction of Decision TreesHave you ever noticed that your life already runs on a decision tree? If it’s raining → take an umbrella Else if it’s sunny → take sunglasses Else → just pray and go out Congratulations! You just00
