Scientists Report Quantum Computer Success in Breaking RSA Encryption: Potential Impacts on…Recently, a team of Chinese scientists from the University of Science and Technology of China (USTC) claimed to have broken RSA encryption…Nov 7Nov 7
Published inDig-IT: A Chronicle of Business Intelligence, Data Analytics, and Data ScienceEnhanced Customer Churn Prediction Using Machine Learning via The Random ForestWe analyzed a customer churn dataset using a Random Forest Classifier, with pre-processing to handle missing values and encode data.Sep 24Sep 24
Published inDig-IT: A Chronicle of Business Intelligence, Data Analytics, and Data ScienceThe CrowdStrike Outage: An In-Depth Analysis and Future Prevention StrategiesBackgroundAug 6Aug 6
Implementing Hierarchical Risk Parity (HRP) for A Small Diversified PortfolioThe following is the second part of our exploration of Hierarchical Risk Parity. Here is a quick refresher on HRP. Hierarchical Risk Parity…Jun 18Jun 18
Understanding Bayesian Linear Regression Through the Auto-MPG DatasetToday, we are going to explore a fascinating concept in statistics called Bayesian linear regression. Imagine you’re a detective, and you…May 7May 7
Using Bollinger Bands® with Python in the Development of a Forecasting Model Applied to Automotive…Within the dynamic sphere of financial markets, volatility reigns supreme. Prices fluctuate constantly, posing a significant challenge for…Apr 12Apr 12
Machine Learning and Business Intelligence: A Powerful Combination for the Automobile IndustryMachine learning (ML) and business intelligence (BI) are two fields that have a lot in common. Both aim to extract valuable insights from…Feb 15Feb 15
A Conversation on Market Optimization for the US Retail SectorConquering the Competition: A Nash Equilibrium Approach to Retail Market OptimizationFeb 1Feb 1
