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Aug 13,2025
Case Study: Detecting Machine Signal Modes Using Statistical Analysis
Problem Description We have a time series signal that switches between two modes: on (e.g., at t = 0s) and off (e.g., at t = 0.001504s). These modes correspond to different signal values. Our goal…
Jul 30,2025
Making Bayesian Statistics Accessible to Everyone – Edition 1: From Frequentist to Bayesian Statistics
Introduction Statisticians draw data from a subset of the population, known as a sample, which should be representative of the whole. Analyses are then conducted on the sample with the intention of making reliable inferences…
Jul 29,2025
Case Study: Predicting Customer Sensitivity to Interest Rate Changes – A Step-by-Step Binary Classification Approach Using Random Forest
Introduction A leading retail bank aims to optimize the pricing of its credit portfolio by predicting how sensitive its customers are to changes in interest rates. This case study provides a step-by-step walkthrough of how…
Jul 03,2025
Revenue Forecasting for Supermarket Chains: A Case Study with an Anonymous Supermarket Chain in Germany
I. Introduction and Problem Description Project Overview In this project, we present a robust end-to-end framework for forecasting daily revenue across multiple locations of an anonymous supermarket chain. Leveraging historical transaction data, the framework employs…
Mar 29,2025
Neural Networks vs. Random Forests: A Practical Guide for Machine Learning Practitioners
I. Introduction Machine learning has evolved significantly, with Neural Networks (NNs) and Random Forests (RFs) being two widely used algorithms. While deep learning dominates in many areas, Random Forests often excel in structured data applications.…
Mar 23,2025
Fusing Machine Learning in R: Late Integration Predictive Modeling with fuseMLR
Introduction Recent technological advances have enabled the simultaneous collection of multi-omics data, i.e., different types or modalities of molecular data across various organ tissues of patients. For integrative predictive modeling, analyzing such data presents several…
