郭郭雪林intoolexo.hashnode.dev·3d ago · 6 min readPercentage Difference Between Two Measurements# Percentage Difference Between Two Measurements Two measurements can differ by 5 units, but that number alone does not tell you whether the gap is trivial or large. A 5 mm difference matters a lot 00
YMYash Mangukiyaincredit-risk-analytics.hashnode.dev·6d ago · 2 min readDemystifying Risk Scorecard Models: From Logistic Regression to Machine LearningRisk scorecard models play a critical role in financial decision-making, particularly in credit risk assessment and loan underwriting. These models evaluate applicant creditworthiness by predicting ev00
YMYash Mangukiyaincredit-risk-analytics.hashnode.dev·6d ago · 5 min readUnderstanding LIME in Credit Risk: Explaining Black-Box Machine Learning ModelsAs risk analytics teams deploy complex non-linear models like Gradient-Boosted Trees (XGBoost, LightGBM) to capture subtle default patterns, they encounter a critical trade-off: predictive accuracy vs00
YMYash Mangukiyaincredit-risk-analytics.hashnode.dev·6d ago · 4 min readUnderstanding SHAP Values in Credit Risk: Making Machine Learning Models TransparentIn modern credit risk analytics, gradient-boosted decision trees (XGBoost, LightGBM) frequently outperform traditional logistic regression in Gini and KS statistics. However, adopting these complex al00
郭郭雪林intoolexo.hashnode.dev·Sep 12 · 6 min readHow to Average Percentages Without Ignoring Their Denominators# How to Average Percentages Without Ignoring Their Denominators A percentage is a ratio, not a standalone number. That sounds obvious, but it is the reason simple averages often produce misleading 00
NMNipun Manandharinnipunmn.hashnode.dev·Sep 5 · 6 min readBack to the Basics: Essential Statistics for Data ScienceAs a computer science student specializing in AI, I believe that having a strong foundation in any subject is key to succeeding in a constantly evolving learning journey. To help myself remember these01A
WSWaqas Solangiinglobaltoolsbox.hashnode.dev·Sep 1 · 12 min readHow to Build a Standard Deviation Calculator in Vanilla JavaScriptCalculating standard deviation manually for large datasets is time-consuming and highly prone to human error. To make statistical analysis easier for data analysts, students, and developers, I recentl00
MMohitminmonthlydatascience.hashnode.dev·Sep 1 · 7 min readWhat PCA is actually doing to your dataMost explanations of PCA stop at "it reduces dimensions." That is true, and it is roughly as useful as saying a regression "fits a line." It tells you what happens without telling you what the method 00
DDataModelLabindatascienceclearly.hashnode.dev·Aug 23 · 8 min readLogistic Regression Assumptions Explained: Why They Matter and What to Do When They FailINTRODUCTION: What is Logistic Regression? Logistic regression is often one of the first classification algorithms we learn. It is simple, interpretable and widely used—but fitting the model is not en00
MMohitminmonthlydatascience.hashnode.dev·Aug 23 · 7 min readCorrelation Is Pairwise. Multicollinearity Isn'tAlmost every regression project I've seen in the last decade starts the same way. Load the data, df.corr(), plot the heatmap, scan for red squares, drop one variable from every pair above 0.8. Then we10
