mycasestudies.hashnode.devPropensity Score Matching in R: A Practical Guide for Modern Causal AnalysisIn many real-world scenarios, researchers and analysts want to understand the causal impact of an intervention—but random assignment simply isn’t possible. Whether you’re evaluating a marketing campaign, a medical treatment, or a policy intervention,...Jan 8·6 min read
mycasestudies.hashnode.devSharpening the Axe: Performing Principal Component Analysis (PCA) in R for Modern Machine Learning“Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” — Abraham Lincoln This quote resonates strongly with modern machine learning and data science. In real-world projects, the majority of time is not spent on ...Jan 7·5 min read
mycasestudies.hashnode.devUnderstanding Generalized Linear Models (GLMs): From Linear Regression to Real-World Predictive Modeling in RIntroduction Modern data science problems rarely conform to the assumptions of classical linear regression. Real-world datasets often exhibit skewness, non-normal distributions, non-linear trends, or categorical outcomes. To address these challenges,...Jan 2·4 min read
mycasestudies.hashnode.devFrom Linear Models to Intelligent Prediction: A Practical Guide to Support Vector Regression in RIntroduction Predictive modeling plays a central role in modern data-driven decision-making. While traditional statistical approaches such as Simple Linear Regression (SLR) remain valuable for understanding relationships between variables, they often...Jan 2·8 min read
mycasestudies.hashnode.devHow Analytics is Transforming Marketing and Sales StrategyFor decades, marketing and sales were driven by gut feeling, experience, and intuition. Marketers relied on creative instincts, and sales teams focused on relationship-building and persuasion. While those human elements remain invaluable, the digital...Oct 27, 2025·9 min read