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
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 4 min read22.3 Illustration of K-Means Clustering Using a Sample Dataset To understand how the K-Means clustering algorithm works, let us consider a small customer dataset.Each customer is represented using two attributes: Annual Income and Spending Score.The objective of 00
PPPranoti Patilinai-for-multidisciplinary-application.hashnode.dev·Mar 6 · 3 min read21.3 Numerical example of decision tree using ID3Numerical example of decision tree using ID3Suppose, we have, 2 featuresFeature 1,(Feature = F1)Feature ExplanationRoot Node:Feature → 9 Yes / 5 No First Split (C1):6 Yes / 2 No → More pure node00
