PPowerduck·Nov 1A Fix Proved Once in a Terminal Is Still Just a HopeYou run the failing command by hand, watch it pass, declare done, and merge. Three months later the same path breaks because nobody turned that manual repro into a test that stays in the suite.4 min read·blogs.powerduck.com
MMainStay Marketing·Sep 17Writing Automated Regression Testing Frameworks for Statutory Payroll FormulasIn enterprise payroll management, statutory wage calculations are constantly shifting targets. Regulatory authorities routinely update state-specific Professional Tax (PT) slabs3 min read·mainstay.hashnode.dev
TTharun·Aug 31From Lines to Decisions: Why Regression Fails at ClassificationLearn why linear regression fails at classification, how predictions can go below 0 or above 1, and why sigmoid is needed for probabilities.9 min read·tharunpandya.hashnode.dev1
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
AAkash·Aug 5Building Production-Ready ML Models: From Data to DeploymentMaster ML workflows with real-world projects. Learn preprocessing, training, evaluation, and deployment using Python & scikit-learn.12 min read·akashbuilds.hashnode.dev
SSahil Khurana·Jul 22The Complete Guide to Regression Testing Learn everything about regression testing, including its importance, types, tools, and best practices for maintaining software quality and stability.8 min read·innostaxengineering.hashnode.dev
RRudrendu Paul·Jul 15Product 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 constru20 min read·freecodecamp.org
SSimon·Jul 4Building Decision Trees with Pandas and Scikit-learnThe mathematics behind the Decision Tree Regressor Model7 min read·my-ai-learning-plan.hashnode.dev
SStat Hacks·Jun 16Level 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 Lev9 min read·advanced-data-professionals.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
