PinnedSimpsons Paradox in Linear RegressionThe Simpsons Paradox is a fascinating statistical paradox that often happens around but only a few people know of it. It occurs when the…Dec 20, 2023Dec 20, 2023
Causal Machine Learning — Using ML Models in Social ExperimentsIn the age of AI and machine learning, ML is frequently treated as a one-size-fits-all solution for every problem. While it is undeniably…Sep 25Sep 25
An Intuition Behind Geometric MeanI invested in a stock that had a 5% return in the first year. I received a better 8% return in the second year and a whopping 20% return in…Aug 6Aug 6
Using Random Forest and Logistic RegressionIn this project, I will use two machine learning models, Random Forest and Logistic Regression, to predict heart disease. This is a simple…Jul 20Jul 20
Using R and Python in Quarto Workbook — RStudioQuarto is a powerful data analytics tool that Posit Inc. built-in RStudio. The main feature of Quarto is that it can seamlessly switch…Jul 15Jul 15
Analyzing Media Bias: A Text Analytics Approach to Distinguishing Liberal and Conservative News…Text analytics has been widely utilized in sentiment analysis, large language models (LLMs), and natural language processing (NLP), but…Mar 27Mar 27
Hypothesis Testing Using Simulation in R and PythonHypothesis testing is a fundamental statistical concept applied across various disciplines. It provides a structured and scientific…Nov 17, 2023Nov 17, 2023
Creating a visual representation of Parliament data in RR is super useful software for visualizations. It has powerful tools like the ggplot2, plotly, and leaflet for graphics. There are even…Jan 23, 2023Jan 23, 2023
Using simple Linear Optimization in MS EXCEL to help make business decisions (PART 2)In the last article, I used a simple linear optimization of demand and revenue using the Solverfunction in Excel. To revise, you can find…Jan 16, 2023Jan 16, 2023
Using simple Linear Optimization in MS EXCEL to help make business decisions (PART 1)Quantitative analytics has become of major importance for business decision-making. With an abundance of data readily available, firms not…Jan 7, 2023Jan 7, 2023
