diptis-case-studies-and-articles.hashnode.devWhys and Hows of Apply Family Functions in RIntroduction In data analysis and programming, repetition is inevitable. Whether you are calculating column totals, applying transformations across variables, or performing repeated statistical operat3d ago·7 min read
diptis-case-studies-and-articles.hashnode.devHierarchical Clustering in R: Origins, Algorithms, Real-World Applications & Case StudiesOrigins of Hierarchical Clustering Hierarchical clustering has its roots in taxonomy and biological classification systems. Long before the advent of machine learning, scientists classified organisms Feb 19·7 min read
diptis-case-studies-and-articles.hashnode.devK-Means Clustering in R: Assumptions, Origins, Real-World Applications & Practical GuideK-Means clustering is one of the most widely used algorithms in unsupervised machine learning. It is simple, intuitive, and computationally efficient, making it a foundational technique for data scientists and analysts. However, despite its simplicit...Feb 18·7 min read
diptis-case-studies-and-articles.hashnode.devBuilding Regression Models in R Using Support Vector Regression SVRRegression modeling is one of the most fundamental techniques in statistics and machine learning. From predicting sales revenue to forecasting stock prices and estimating medical outcomes, regression models help us understand relationships between va...Feb 17·7 min read
diptis-case-studies-and-articles.hashnode.devFrom Categories to Clarity: A Complete Guide to Frequency Tables in RData is everywhere. From customer demographics and product categories to medical diagnoses and survey responses, much of the world’s data exists in categorical form. Understanding how often certain categories appear is one of the most fundamental tas...Feb 12·6 min read